LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks | Paper Citation Record

Observation 9dd6c96b-e4ed-49a7-a7d0-d12e6ea219ad · outbound

This paper cites How to initialize your network? robust initialization for weightnorm & resnets.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks How to initialize your network? robust initialization for weightnorm & resnets

Reference 1

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Observation 52a26cf2-26ae-447f-80e7-98e1cb7a2bb6 · outbound

This paper cites Hypernetwork-based meta-learning for low-rank physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Hypernetwork-based meta-learning for low-rank physics-informed neural networks

Reference 3

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Observation 2ba84097-5547-4ce9-8a9f-9ae565b70fc1 · outbound

This paper cites Scientific machine learning through physics--informed neural networks: Where we are and what’s next.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Scientific machine learning through physics--informed neural networks: Where we are and what’s next

Reference 4

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Observation feae99e8-2ffd-4797-a187-84ff59c9eabc · outbound

This paper cites Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

Reference 5

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Observation 4c363a8f-068d-404d-b51e-b0db72153ec5 · outbound

This paper cites Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Reference 6

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Observation a758b184-f45d-49ef-850c-1ede7ecedc1b · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:48.388571Z

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Observation a3ec071d-fd38-4c7d-92a3-0cfd07a72c37 · outbound

This paper cites Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel

Reference 8

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Observation e060d9a5-7c8b-47d9-bdce-6798cdfab03f · outbound

This paper cites Flat minima.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Flat minima

Reference 9

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Observation 1d42d971-00a7-4b27-a91f-fc01f18b5559 · outbound

This paper cites Dpm: A novel training method for physics-informed neural networks in extrapolation.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Dpm: A novel training method for physics-informed neural networks in extrapolation

Reference 10

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Observation 912def68-4edf-462d-901c-46bfc13b421e · outbound

This paper cites Characterizing possible failure modes in physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Characterizing possible failure modes in physics-informed neural networks

Reference 11

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Observation 70a14a70-7003-4f60-8ea0-2d018e89bb22 · outbound

This paper cites Physics informed neural networks for fluid flow analysis with repetitive parameter initialization.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Physics informed neural networks for fluid flow analysis with repetitive parameter initialization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:48.965204Z

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Observation dfdb8771-6634-4ebf-b8af-bda2adacafcb · outbound

This paper cites Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:49.135005Z

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Observation 0eb52880-f5b4-440b-acf4-ef92839e3887 · outbound

This paper cites Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

Reference 16

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Observation 82cc9c50-c82a-426d-843b-ffe75da54c3f · outbound

This paper cites Numerical gaussian processes for time-dependent and nonlinear partial differential equations.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Numerical gaussian processes for time-dependent and nonlinear partial differential equations

Reference 18

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Observation f26bbd17-ffde-48e6-828d-227a9040d46d · outbound

This paper cites Meta-learning with implicit gradients.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Meta-learning with implicit gradients

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:49.587464Z

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Observation 687bba97-f02e-4a16-8723-2c3e8fbf8d48 · outbound

This paper cites Dats: Difficulty-aware task sampler for meta-learning physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Dats: Difficulty-aware task sampler for meta-learning physics-informed neural networks

Reference 22

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Observation 04a492e3-99ed-4956-ae03-24b919a5bf47 · outbound

This paper cites Zippered polygon meshes from range images.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Zippered polygon meshes from range images

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:50.008423Z

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Observation 41fe49cc-e0d0-4260-8325-22c289261313 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Understanding and mitigating gradient flow pathologies in physics-informed neural networks

Reference 24

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Observation 99356bda-d23d-4ae1-9238-e47d2019d67a · outbound

This paper cites On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:50.248495Z

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Observation 166e61e2-9fe8-4a8c-9c92-0b2244e8c571 · outbound

This paper cites When and why pinns fail to train: A neural tangent kernel perspective.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks When and why pinns fail to train: A neural tangent kernel perspective

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:50.424760Z

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Observation 5f802826-db4b-4d38-b0e9-b61dd41d179e · outbound

This paper cites Gradient alignment in physics-informed neural networks: A second-order optimization perspective, 2025.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Gradient alignment in physics-informed neural networks: A second-order optimization perspective, 2025

Reference 28

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Observation 121e186a-4d39-4795-a7f3-17442897976e · outbound

This paper cites A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

Reference 29

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Observation a14b54d0-a1e9-4ce8-a20e-ce27955d882a · outbound

This paper cites Mean field residual networks: On the edge of chaos.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Mean field residual networks: On the edge of chaos

Reference 31

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Observation 8ac90603-95fb-403c-983f-32022ee31e5d · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 32

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Observation c354054f-6d0c-46ae-8cc4-339ccba45fdf · outbound

This paper cites Classification Problem Solving.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Classification Problem Solving

Reference 33

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks , title =

Reference 34

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Observation e9b818be-fd56-4d2d-bb23-a31a89ef6394 · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 35

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Observation 5d2de18e-77e7-4a5b-ba4b-5c4c507d81b1 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Clancey and Glenn Rennels , abstract =

Reference 36

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This paper cites and Rennels, Glenn R.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Rennels, Glenn R

Reference 37

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Poligon: A System for Parallel Problem Solving

Reference 38

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Observation 86514036-3c1c-4b9e-9f35-876d94daea0d · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 39

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Observation 517d59ed-5d22-4a61-ba8a-fb7db71c80cb · outbound

This paper cites The Engineering of Qualitative Models.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks The Engineering of Qualitative Models

Reference 40

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2017 , eprint=

Reference 41

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Observation 1928d495-01cc-412f-8fed-f6ff54dc0f86 · outbound

This paper cites Pluto: The 'Other' Red Planet.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Pluto: The 'Other' Red Planet

Reference 42

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Observation 76a5c3a9-bc97-4536-b461-b460da467d57 · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 43

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Observation f210a63c-a0f0-492f-8ac9-987fd96910b2 · outbound

This paper cites PINNACLE: PINN Adaptive ColLocation and Experimental points selection.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks PINNACLE: PINN Adaptive ColLocation and Experimental points selection

Reference 44

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Observation 031cdcf4-0856-4b70-99bc-88b137d56a38 · outbound

This paper cites Journal of Machine Learning Research , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of Machine Learning Research , volume=

Reference 45

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Observation 02d6ed21-24b6-487a-9393-ae1e037d5464 · outbound

This paper cites Knowledge-guided Machine Learning: Current Trends and Future Prospects.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Knowledge-guided Machine Learning: Current Trends and Future Prospects

Reference 46

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Zwart, Jacob A

Reference 47

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Observation 95f8ed8e-152b-4aa9-9cb1-f4f1caca404d · outbound

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Knowledge Guided Machine Learning , pages=

Reference 48

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Steinbach, Michael and Banerjee, Arindam and Ganguly, Auroop and Shekhar, Shashi and Samatova, Nagiza and Kumar, Vipin , journal=

Reference 49

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2022 , publisher=

Reference 50

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks , volume =

Reference 51

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Unresolved cited work

Reference 52

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Publication manual of the American Psychological Association , isbn =

Reference 53

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks The Manual of Scientific Style , url =

Reference 54

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Crisis Management in the Food and Drinks Industry , url =

Reference 55

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Incorporating Prior Domain Knowledge into Deep Neural Networks , year=

Reference 56

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Observation 9f1fc3dc-8931-470f-a3e2-4a8e1c3ce487 · outbound

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Gholami, Amir and Zhe, Shandian and Kirby, Robert M

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:52.742512Z

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Observation 9d018cb3-116f-4f79-9c8d-97d2401dd372 · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:52.809437Z

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Observation 0842dda1-9592-4d32-9138-4e92b25f50ff · outbound

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Deep Information Propagation

Reference 59

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of computational physics , volume=

Reference 60

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of Computational Physics , volume=

Reference 61

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LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks SIAM Journal on Scientific Computing , volume=

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.111752Z

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Observation 0faac986-005a-4ab0-9642-aa5ab9fb0a2f · outbound

This paper cites 2023 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2023 , eprint=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.213560Z

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Unavailable: canonical work link unavailable.

Observation 60597387-8d24-4732-b3f8-4828942a36f9 · outbound

This paper cites Meta-learning PINN loss functions , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Meta-learning PINN loss functions , volume=

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.404320Z

Source-reported events for the cited work

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Observation f85a1e74-9901-45ee-91d5-ca323e0063e9 · outbound

This paper cites A novel meta-learning initialization method for physics-informed neural networks , volume =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks A novel meta-learning initialization method for physics-informed neural networks , volume =

Reference 66

Resolution: verified exact; doi, observed 2026-08-02T02:53:30.441064Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23f81936-1913-41b8-8050-f60cff831f17 · outbound

This paper cites , urldate =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks , urldate =

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.615220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 468bf253-e948-4e3e-9e23-4015fae67bd4 · outbound

This paper cites On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.671949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b0923b-6817-42dc-8760-c126457abea5 · outbound

This paper cites Gradient-enhanced physics-informed neural networks for forward and inverse.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Gradient-enhanced physics-informed neural networks for forward and inverse

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.757049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2e5b446-e93b-4e7d-8bc9-85dc743070a5 · outbound

This paper cites 2017 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2017 , eprint=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.843571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f12f91d-8a64-421a-b6cf-5f1a07ef8541 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Advances in Neural Information Processing Systems , volume=

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:53.939553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ec7c6a4-1bc5-4d52-aa7d-c2f575be4715 · outbound

This paper cites an unresolved cited work.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.019987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76a2c832-68f9-440a-bdab-283bdb7740e1 · outbound

This paper cites an unresolved cited work.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.188114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 290bee44-d681-4b74-8f5e-89e529b1bedd · outbound

This paper cites and Toscano, Juan Diego and Stergiopulos, Nikolaos and Karniadakis, George Em , urldate =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Toscano, Juan Diego and Stergiopulos, Nikolaos and Karniadakis, George Em , urldate =

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.290457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f16d8f7-7775-4f38-a01b-6fc52d2a8401 · outbound

This paper cites and Tegmark, Max , urldate =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks and Tegmark, Max , urldate =

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.397258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac0af712-acca-49d5-a48f-50e9de44e914 · outbound

This paper cites 2022 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2022 , eprint=

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.501473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dabded1-3901-4821-8e1c-8a88e756b972 · outbound

This paper cites an unresolved cited work.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.572286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7335beba-5ca9-4ec4-9c23-3f529543a043 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.642033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97293701-c145-4960-a786-c49e39aa9ad0 · outbound

This paper cites 2024 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2024 , eprint=

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.803226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67aa923d-6ce8-4dae-8463-cc40aaf513cb · outbound

This paper cites Advances in neural information processing systems , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Advances in neural information processing systems , volume=

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.877281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5130b11-f480-47b0-bb19-2d1f8979a927 · outbound

This paper cites , urldate =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks , urldate =

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:54.944887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 746a2c70-bc13-49ee-bec2-ae994534f228 · outbound

This paper cites Advances in neural information processing systems , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Advances in neural information processing systems , volume=

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.043884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e2be49-eb14-49a3-a0da-725fd420368d · outbound

This paper cites 2017 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2017 , eprint=

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.121593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12db0513-a870-45f6-8d29-749a72aa22f9 · outbound

This paper cites Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Meta-learning of Physics-informed Neural Networks for Efficiently Solving Newly Given

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.174402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b779259a-1814-48e7-9598-9a7549a87471 · outbound

This paper cites 2016 , eprint=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2016 , eprint=

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.246474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fc2a1b-12a4-4a9a-96a9-848733a21127 · outbound

This paper cites Mean Field Theory and its application to deep learning , abstract =.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Mean Field Theory and its application to deep learning , abstract =

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.304613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caff7f1b-b711-43a6-9190-473bb3d5dc1a · outbound

This paper cites Book III, Lemma V, Case , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Book III, Lemma V, Case , volume=

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.406480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351297b3-9b2d-4c36-9815-fc870a918cdd · outbound

This paper cites Reviews of Modern Physics , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Reviews of Modern Physics , volume=

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.477106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3cf5c9-e6b7-414e-bbf1-9c2d792f119b · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks SIAM Journal on Scientific Computing , volume=

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.587332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a6f1db-014f-4d99-a28c-8af83624ee0e · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Computer Methods in Applied Mechanics and Engineering , volume=

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.646956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5555979-9dfc-4882-8449-ecb8643674a1 · outbound

This paper cites Respecting causality is all you need for training physics-informed neural networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Respecting causality is all you need for training physics-informed neural networks

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.699909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f90a2df-6df3-4cd3-9a69-75cbd86f5777 · outbound

This paper cites Optics express , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Optics express , volume=

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.764537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e882ec-0033-42a8-9cf8-bb7fb15ca38e · outbound

This paper cites Journal of Computational Physics , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of Computational Physics , volume=

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.841347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d40e78-1de6-47c8-8d7b-09726a657a62 · outbound

This paper cites Neurocomputing , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Neurocomputing , volume=

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.907758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff775d8c-e69b-4514-9ae8-1eba26a84490 · outbound

This paper cites Computer Methods in Applied Mechanics and Engineering , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Computer Methods in Applied Mechanics and Engineering , volume=

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:55.976004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730032a4-ba79-4a1f-8762-35cb9a38bea1 · outbound

This paper cites Journal of Computational Physics , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of Computational Physics , volume=

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.028895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7127a57-536b-4672-8646-0b161ca63077 · outbound

This paper cites Journal of Scientific Computing , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Journal of Scientific Computing , volume=

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.102840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d841d1e-8252-43e5-8054-c334b8be9591 · outbound

This paper cites Ihlenburg and I.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Ihlenburg and I

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.168000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22b31231-b9fb-4470-96bb-4548a3e274a8 · outbound

This paper cites 2006 , publisher=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks 2006 , publisher=

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.200983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43da72d-9d63-4a27-83bd-43ad80e32c31 · outbound

This paper cites Advances in neural information processing systems , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Advances in neural information processing systems , volume=

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.268044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87195938-b215-4c35-aaba-f621abe26517 · outbound

This paper cites Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.333752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c74a724-75e5-4195-91e4-2ce3e8a136e4 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks On First-Order Meta-Learning Algorithms

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.392764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55068356-05df-4b73-b50a-477022e11e58 · outbound

This paper cites Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.459893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55a5933d-396d-4597-a6c0-112ac72fe4d9 · outbound

This paper cites Advances in neural information processing systems , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Advances in neural information processing systems , volume=

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.530746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3e9edf-9818-4d9d-8dfb-717c9f801acc · outbound

This paper cites Conference on learning theory , pages=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Conference on learning theory , pages=

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.598683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9a9e38-0e38-4c2c-b320-d3f9da8a1a17 · outbound

This paper cites Representation Benefits of Deep Feedforward Networks.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Representation Benefits of Deep Feedforward Networks

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.663253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3de6bd-c9be-4a6d-9de0-7ce0e67742c0 · outbound

This paper cites Theoretical and Applied Mechanics Letters , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Theoretical and Applied Mechanics Letters , volume=

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.742465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c3c792-e3b2-4589-9e02-a28560becbfb · outbound

This paper cites Computational Mechanics , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Computational Mechanics , volume=

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.799453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a818069f-a910-4290-97b2-4277ee7a88ef · outbound

This paper cites Frontiers in Physics , volume=.

LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks Frontiers in Physics , volume=

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-02T02:48:56.887214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers