Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models | Paper Citation Record

Observation f409da5c-3d09-4380-8199-91701c93cfc3 · outbound

This paper cites Butler, Daniel W.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Butler, Daniel W

Reference 1

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Observation 8b0f1ec0-0dde-47bd-9348-f8a35a293671 · outbound

This paper cites Inverse Molecular Design Using Machine Learning: Generative Models for Matter Engineering.Science, 361(6400):360–365.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Inverse Molecular Design Using Machine Learning: Generative Models for Matter Engineering.Science, 361(6400):360–365

Reference 2

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 3

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Observation 06fee4f5-bc1f-46e1-bb45-279f150600a6 · outbound

This paper cites N., Shteingolts, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models N., Shteingolts, S

Reference 4

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Observation 9160f54f-0f44-4b6b-a8f4-24b8efe3ae47 · outbound

This paper cites Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Enabling Structure-Only Initialization and Out-of-Distribution Generalization in GNN-based Molecular Dynamics Simulators

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.076423Z

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Observation 1a898cac-baf6-4240-887e-0c7c5592f480 · outbound

This paper cites Learning to simulate complex physics with graph networks.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learning to simulate complex physics with graph networks

Reference 6

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Observation b6f14b40-e7f9-4a0d-a27f-d7b95f86154f · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neu- ral Information Processing Systems, 33:6840–6851,.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Denoising diffusion probabilistic models.Advances in Neu- ral Information Processing Systems, 33:6840–6851,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.335837Z

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Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 8

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Observation e61ccd97-0297-475c-8a2f-91322f4a7693 · outbound

This paper cites Jumper , author R.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Jumper , author R

Reference 9

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Observation d5c5cc54-d027-4599-9c78-d8697d5b8a15 · outbound

This paper cites representation.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models representation

Reference 10

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.047725Z

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Observation 28932598-7887-494f-bd07-be2dd7468510 · outbound

This paper cites L., Juergens, D., Bennett, N.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models L., Juergens, D., Bennett, N

Reference 11

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.321779Z

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Observation 1f6e1c8d-577f-47f2-a0f0-7020e80598aa · outbound

This paper cites B., Baranov, M., Costello, Z., Barber, K.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models B., Baranov, M., Costello, Z., Barber, K

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.328368Z

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Observation 8cdf245a-8eb7-4ce6-8159-4c5f0f1ccaba · outbound

This paper cites E., Yang, K.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models E., Yang, K

Reference 13

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.350096Z

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Observation 8ebf980c-0da8-4a08-853e-0aeffda69e08 · outbound

This paper cites L., De Bortoli, V., Mathieu, E., Doucet, A., Barzilay, R., and Jaakkola, T.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models L., De Bortoli, V., Mathieu, E., Doucet, A., Barzilay, R., and Jaakkola, T

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.335619Z

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Observation 955f292a-8fc1-4125-b32e-ef8cfb2d7a9f · outbound

This paper cites J., Lin, G., Chen, M., Sa- hoo, A., and Hanson, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models J., Lin, G., Chen, M., Sa- hoo, A., and Hanson, S

Reference 15

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.032619Z

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Observation c2854271-67ff-4633-b7e3-ebc500936682 · outbound

This paper cites M., Emenecker, R.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models M., Emenecker, R

Reference 17

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.014982Z

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Observation ee7dcdcf-7149-4feb-aa91-1196f47f73f2 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.341638Z

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Observation 0be1b4d8-f60b-4c46-989c-49a8c18a29b1 · outbound

This paper cites C., Fernandez-Quintero, M.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models C., Fernandez-Quintero, M

Reference 19

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.037309Z

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Observation 851fe488-efd4-4ba9-b3f3-63b6cf8ad1d7 · outbound

This paper cites Leveraging conformational ensembles in allosteric drug discovery.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Leveraging conformational ensembles in allosteric drug discovery

Reference 20

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.012220Z

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Observation 9f23073c-6343-49b7-b5b6-9430210887db · outbound

This paper cites G., and Wolynes, P.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models G., and Wolynes, P

Reference 21

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.316146Z

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Observation 01b11685-6dff-4ecc-bbfc-24e4147af1a3 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:24:42.300262Z

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Observation 7432d7e2-539b-4205-8089-17b42eb45c25 · outbound

This paper cites and Parrinello, M.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models and Parrinello, M

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-07-08T06:24:42.306677Z

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Observation b69e4efa-bfc3-45e6-9631-ab0003f8694c · outbound

This paper cites R., Valsson, O., and Delemotte, L.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models R., Valsson, O., and Delemotte, L

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.352944Z

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Observation 879d2387-4626-4d51-a0bf-4c31e5f48ba3 · outbound

This paper cites Collec- tive variable-guided engineering of the free-energy surface of a small peptide.arXiv preprint arXiv:2602.19906, 2026.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Collec- tive variable-guided engineering of the free-energy surface of a small peptide.arXiv preprint arXiv:2602.19906, 2026

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-08T06:24:41.991296Z

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Observation 20ba94db-9abd-4605-a886-603643346d63 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.045904Z

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Observation 7059d75f-ba00-481a-a89c-56dd2f385e18 · outbound

This paper cites and Bussi, G.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models and Bussi, G

Reference 27

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.034993Z

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Observation 524ce19e-2160-4c48-b7e3-3e4b1578fff4 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:24:42.297955Z

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Observation 23716b6d-0e35-4ff0-b03b-ea152589fd29 · outbound

This paper cites Journal of Physical Chemistry Letters , month =.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Journal of Physical Chemistry Letters , month =

Reference 29

Resolution: verified exact; doi, observed 2026-07-08T06:24:41.997782Z

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Observation d4a4a99b-357c-4e72-a6a0-6390badbf7d6 · outbound

This paper cites Science Advances , month =.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Science Advances , month =

Reference 30

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.054288Z

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Observation dceab2d6-2c07-489e-bf01-49f0d1ed5684 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:24:42.332925Z

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Observation babd6282-661b-483f-af2d-ee76064cc7b5 · outbound

This paper cites Anderson, D.A.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Anderson, D.A

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-08T06:24:42.005969Z

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Observation 211dd7fa-ac0a-418e-ba4e-2953e6b5d161 · outbound

This paper cites On estimation of a probability density func- tion and mode.The Annals of Mathematical Statistics, 33(3):1065–1076, 1962.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models On estimation of a probability density func- tion and mode.The Annals of Mathematical Statistics, 33(3):1065–1076, 1962

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.356150Z

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Observation 01414fb3-8997-4afb-8574-f2424ac889a2 · outbound

This paper cites End-to-End Diffusion Latent Optimization Improves Classifier Guidance.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.110877Z

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Observation de5b3acd-a282-4013-850f-97f77b3508e5 · outbound

This paper cites Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T06:24:42.026738Z

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Observation 94d51aed-a268-43c3-afdd-d9a1292f2c87 · outbound

This paper cites Learn- ing fast samplers for diffusion models by differentiating through sample quality.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learn- ing fast samplers for diffusion models by differentiating through sample quality

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.344702Z

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Observation 57499fc1-f9ff-4931-b0dc-bb7673609f18 · outbound

This paper cites Denoising Diffusion Implicit Models.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Denoising Diffusion Implicit Models

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.099711Z

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Observation b9b2a254-3d38-4f25-982b-5715e0837ac3 · outbound

This paper cites Learning Sparse Neural Networks through $L_0$ Regularization.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Learning Sparse Neural Networks through $L_0$ Regularization

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.082615Z

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Observation ce7e41c0-9ea0-44a5-a9b2-e164216611b0 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.107851Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6fb3560-3d89-4047-b2c0-2ece6dee4215 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Categorical Reparameterization with Gumbel-Softmax

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Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.104296Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 832ccb31-01ec-4501-9600-d3256b4bd132 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

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Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T06:24:42.094218Z

Source-reported events for the cited work

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Observation 64d7b9b0-ee8b-4bb7-913b-0cd32d3727d3 · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:24:42.358712Z

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Observation dc1ccc48-c5d5-4e20-90ae-9b715b710d4d · outbound

This paper cites Fast parallel algorithms for short-range molecular dynamics.Journal of Computational Physics, 117(1):1–19, 1995.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Fast parallel algorithms for short-range molecular dynamics.Journal of Computational Physics, 117(1):1–19, 1995

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.310390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 716b99d0-f3a8-495f-a013-0612bf67e9e0 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.AAAI Conference on Artificial Intelli- gence, 2018.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models FiLM: Visual reasoning with a general conditioning layer.AAAI Conference on Artificial Intelli- gence, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.302686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1df2eec1-cfcc-4851-9ac9-9e9a3741754c · outbound

This paper cites Collective variables from local fluctuations.The Journal of Physical Chemistry Letters, 9(11):2776–2781, 2018.https://doi.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Collective variables from local fluctuations.The Journal of Physical Chemistry Letters, 9(11):2776–2781, 2018.https://doi

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Resolution: verified exact; doi, observed 2026-07-08T06:24:42.052030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32a828d9-a822-4700-b5a6-57e186989795 · outbound

This paper cites Garai, S.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Garai, S

Reference 46

Resolution: malformed identifier; doi_truncated, observed 2026-07-08T06:24:42.039465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf43cc0a-8f4b-4b90-86d2-3f3c9f93f920 · outbound

This paper cites M., Brotzakis, Z.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models M., Brotzakis, Z

Reference 47

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.009191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3e08a37-27ba-4a4a-82d5-34e98d3430a9 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.Advances in Neural Information Processing Systems, 2013.https://arxiv.org/abs/1306.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Sinkhorn distances: Lightspeed computation of optimal transport.Advances in Neural Information Processing Systems, 2013.https://arxiv.org/abs/1306

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T06:24:42.300083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7ec7a07e-3e0a-4af7-a34f-10e06338ab3f · outbound

This paper cites an unresolved cited work.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-07-08T06:24:42.316712Z

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Observation 292aca00-fac8-4111-8d1f-be6dd81dfab1 · outbound

This paper cites EigenFold: Generative Protein Structure Prediction with Diffusion Models.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models EigenFold: Generative Protein Structure Prediction with Diffusion Models

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-08T06:24:42.079430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91ef6154-6962-474f-9842-5e10425cd5f8 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models Explaining and Harnessing Adversarial Examples

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T06:24:42.089534Z

Source-reported events for the cited work

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Observation 109a7b81-db86-49cb-8d32-3e1172f0a7de · outbound

This paper cites C., Parres-Gold, J., Pieri, E., Cruzeiro, V.

Gradient-Based Inverse Design of Free-Energy Landscapes with Diffusion Models C., Parres-Gold, J., Pieri, E., Cruzeiro, V

Reference 52

Resolution: verified exact; doi, observed 2026-07-08T06:24:42.057066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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