Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection | Paper Citation Record

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection write newline

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Unresolved cited work

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This paper cites Deep nearest neighbor anomaly detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep nearest neighbor anomaly detection

Reference 3

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection representations of knowledge in complex systems

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the Opportunities and Risks of Foundation Models

Reference 5

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This paper cites Large-scale machine learning with stochastic gradient descent.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Large-scale machine learning with stochastic gradient descent

Reference 6

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This paper cites Split-ensemble: Efficient ood-aware ensemble via task and model splitting.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Split-ensemble: Efficient ood-aware ensemble via task and model splitting

Reference 7

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This paper cites Tagfog: Textual anchor guidance and fake outlier generation for visual out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Tagfog: Textual anchor guidance and fake outlier generation for visual out-of-distribution detection

Reference 8

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This paper cites Atom: Robustifying out-of-distribution detection using outlier mining.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Atom: Robustifying out-of-distribution detection using outlier mining

Reference 9

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This paper cites A simple framework for contrastive learning of visual representations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A simple framework for contrastive learning of visual representations

Reference 10

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This paper cites Cimpoi, S.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Cimpoi, S

Reference 11

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This paper cites Distance-based k-nearest neighbors outlier detection method in large-scale traffic data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Distance-based k-nearest neighbors outlier detection method in large-scale traffic data

Reference 12

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This paper cites The relationship between precision-recall and roc curves.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The relationship between precision-recall and roc curves

Reference 13

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This paper cites Imagenet: A large-scale hierarchical image database.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Imagenet: A large-scale hierarchical image database

Reference 14

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This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 15

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This paper cites Extremely simple activation shaping for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Extremely simple activation shaping for out-of-distribution detection

Reference 16

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This paper cites Towards unknown-aware learning with virtual outlier synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Towards unknown-aware learning with virtual outlier synthesis

Reference 17

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Vos: Learning what you don’t know by virtual outlier synthesis

Reference 18

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This paper cites Dream the impossible: Outlier imagination with diffusion models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dream the impossible: Outlier imagination with diffusion models

Reference 19

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Observation 59e33d97-a1cf-4d25-9a7c-c2a1df610692 · outbound

This paper cites Kennedy, Brian J.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Kennedy, Brian J

Reference 20

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This paper cites Taming transformers for high-resolution image synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Taming transformers for high-resolution image synthesis

Reference 21

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This paper cites Detecting hallucinations in large language models using semantic entropy.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Detecting hallucinations in large language models using semantic entropy

Reference 22

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This paper cites An introduction to roc analysis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection An introduction to roc analysis

Reference 23

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dispersion on a sphere

Reference 24

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods

Reference 25

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Generative adversarial networks

Reference 26

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This paper cites Dense open-set recognition with synthetic outliers generated by real nvp.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dense open-set recognition with synthetic outliers generated by real nvp

Reference 27

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This paper cites Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models

Reference 28

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This paper cites Statistical analysis of nearest neighbor methods for anomaly detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Statistical analysis of nearest neighbor methods for anomaly detection

Reference 29

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This paper cites On a General Method of Expressing the Paths of Light, and of the Planets, by the Coefficients of a Characteristic Function.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On a General Method of Expressing the Paths of Light, and of the Planets, by the Coefficients of a Characteristic Function

Reference 30

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This paper cites Keith Hastings.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Keith Hastings

Reference 31

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep residual learning for image recognition

Reference 32

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This paper cites o sch, Jonas L \.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection o sch, Jonas L \

Reference 33

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This paper cites Towards corner case detection by modeling the uncertainty of instance segmentation networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Towards corner case detection by modeling the uncertainty of instance segmentation networks

Reference 34

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A baseline for detecting misclassified and out-of-distribution examples in neural networks

Reference 35

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep anomaly detection with outlier exposure

Reference 36

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Scaling out-of-distribution detection for real-world settings

Reference 37

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning probabilistic models from generator latent spaces with hat ebm

Reference 38

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Denoising diffusion probabilistic models

Reference 39

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the importance of gradients for detecting distributional shifts in the wild

Reference 40

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Estimation of non-normalized statistical models by score matching

Reference 41

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This paper cites DOS : Diverse outlier sampling for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection DOS : Diverse outlier sampling for out-of-distribution detection

Reference 42

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This paper cites Negative label guided OOD detection with pretrained vision-language models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Negative label guided OOD detection with pretrained vision-language models

Reference 43

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This paper cites Cresswell, Anthony L.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Cresswell, Anthony L

Reference 44

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Supervised contrastive learning

Reference 45

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This paper cites Neural relation graph: A unified framework for identifying label noise and outlier data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Neural relation graph: A unified framework for identifying label noise and outlier data

Reference 46

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This paper cites Opengan: Open-set recognition via open data generation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Opengan: Open-set recognition via open data generation

Reference 47

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This paper cites Learning multiple layers of features from tiny images.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning multiple layers of features from tiny images

Reference 48

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Spherical hamiltonian monte carlo for constrained target distributions

Reference 49

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Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Tiny imagenet visual recognition challenge

Reference 50

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This paper cites Training confidence-calibrated classifiers for detecting out-of-distribution samples.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Training confidence-calibrated classifiers for detecting out-of-distribution samples

Reference 51

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This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 52

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This paper cites Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation

Reference 53

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Observation 9e6a1e9f-57ed-4d9e-80d2-b73871d382e7 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Enhancing the reliability of out-of-distribution image detection in neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:19.085987Z

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This paper cites Efficient out-of-distribution detection in digital pathology using multi-head convolutional neural networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Efficient out-of-distribution detection in digital pathology using multi-head convolutional neural networks

Reference 55

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Observation 279ddb77-4bd4-40ba-a2f0-c37e6c5016c4 · outbound

This paper cites Fast decision boundary based out-of-distribution detector.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Fast decision boundary based out-of-distribution detector

Reference 56

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Observation faa9dbaa-feff-4374-9d8e-20dd967e24d1 · outbound

This paper cites Energy-based out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Energy-based out-of-distribution detection

Reference 57

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Observation 83198b3e-662e-4e3f-9582-d4f9e90b9f36 · outbound

This paper cites Neuron activation coverage: Rethinking out-of-distribution detection and generalization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Neuron activation coverage: Rethinking out-of-distribution detection and generalization

Reference 58

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Observation 44462124-b915-45f5-9f60-deae144eecc9 · outbound

This paper cites Semantic-aware scene recognition.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Semantic-aware scene recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:19.006943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 260dba17-397c-4713-9b86-80616a35bf03 · outbound

This paper cites SGDR : Stochastic gradient descent with warm restarts.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection SGDR : Stochastic gradient descent with warm restarts

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.987820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 371967c8-fa36-4320-9d7e-ff1090938f44 · outbound

This paper cites Learning with mixture of prototypes for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning with mixture of prototypes for out-of-distribution detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.965758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50eee983-dcfe-4443-a492-39c4b55dc712 · outbound

This paper cites On the generalised distance in statistics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the generalised distance in statistics

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.950275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f824f57e-5fb7-4a6b-beaa-865ded1da8d3 · outbound

This paper cites Foundations of statistical natural language processing.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Foundations of statistical natural language processing

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.938154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6b723e3d-be69-4a61-90f3-38ee906bc6ea · outbound

This paper cites Directional statistics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Directional statistics

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.927144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0279f039-a633-44bd-83a2-046e6a4dd5e1 · outbound

This paper cites Equation of state calculations by fast computing machines.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Equation of state calculations by fast computing machines

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.914269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8a798f3-239b-4901-9dd6-76ea7f365716 · outbound

This paper cites Poem: Out-of-distribution detection with posterior sampling.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Poem: Out-of-distribution detection with posterior sampling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.901847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ece1cdc-99ee-461e-854b-617ce950a621 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 a.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 a

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.883874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dfb3db77-c91f-4904-9399-3b713558c089 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 b.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 b

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.866140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9af2c99a-ccc3-4813-9f01-8e2dd1f36c9d · outbound

This paper cites RODEO : Robust outlier detection via exposing adaptive out-of-distribution samples.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection RODEO : Robust outlier detection via exposing adaptive out-of-distribution samples

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.852465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53b5675f-2ffd-45d3-8a37-9220970ac2b8 · outbound

This paper cites Coresets for data-efficient training of machine learning models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Coresets for data-efficient training of machine learning models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.840860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1016327-8cba-41e1-a806-e16fd46cccfd · outbound

This paper cites Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T11:19:17.849712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ce3a3c-f50c-4590-802e-12ded9745c24 · outbound

This paper cites Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.829454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation feac8628-3369-4042-9f35-4be4e8e1ed8e · outbound

This paper cites Probabilistic inference using markov chain monte carlo methods.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Probabilistic inference using markov chain monte carlo methods

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.816035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 320d2187-c335-4483-8904-6ced615ba734 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Reading digits in natural images with unsupervised feature learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.801381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea31f8da-f981-4d07-b877-48624f58103c · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.787020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eee48371-c121-4686-a55e-6c61ff47f68e · outbound

This paper cites On the powerfulness of textual outlier exposure for visual ood detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the powerfulness of textual outlier exposure for visual ood detection

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.769116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d81001e3-7d98-44d8-bed6-950a005329a5 · outbound

This paper cites Generating high fidelity synthetic data via coreset selection and entropic regularization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Generating high fidelity synthetic data via coreset selection and entropic regularization

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.748988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e22597d-5f9b-438c-b940-abd087d738b7 · outbound

This paper cites G2d: Generate to detect anomaly.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection G2d: Generate to detect anomaly

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.736233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4224bece-cc49-4e21-b7dc-622e13166c67 · outbound

This paper cites Remarks on Some Nonparametric Estimates of a Density Function.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Remarks on Some Nonparametric Estimates of a Density Function

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.723934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b41ca66-4fa9-4023-8597-57cabd1966c5 · outbound

This paper cites Ssd: A unified framework for self-supervised outlier detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Ssd: A unified framework for self-supervised outlier detection

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.699715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 25ebf7c5-a551-4d2e-be67-f883b03dc11c · outbound

This paper cites ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T11:19:17.909016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24dd173d-860e-457f-891b-444d76db3e45 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Score-based generative modeling through stochastic differential equations

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.664022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11a6c37d-eef0-4200-8601-0bf771cb19a2 · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dice: Leveraging sparsification for out-of-distribution detection

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.635281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6bfc2b4-8222-4623-beb2-83d46ba8a619 · outbound

This paper cites React: Out-of-distribution detection with rectified activations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection React: Out-of-distribution detection with rectified activations

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.613444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7cb297c6-4944-446d-be50-db8c155ff75d · outbound

This paper cites Out-of-distribution detection with deep nearest neighbors.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection with deep nearest neighbors

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.590016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1d92d8a-3fa4-43ec-8419-d8a8a51f8cd2 · outbound

This paper cites Csi: Novelty detection via contrastive learning on distributionally shifted instances.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Csi: Novelty detection via contrastive learning on distributionally shifted instances

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.567004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 65f8bc89-00db-4a28-beeb-a82b5598b282 · outbound

This paper cites Non-parametric outlier synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Non-parametric outlier synthesis

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.552523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a6d7691-bf1f-4623-b374-7e7f7e1f7816 · outbound

This paper cites Trust issues: Uncertainty estimation does not enable reliable ood detection on medical tabular data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Trust issues: Uncertainty estimation does not enable reliable ood detection on medical tabular data

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.537801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0dcbc08-2d4a-4eb2-8ca0-a6f1523dfad4 · outbound

This paper cites Visualizing data using t-sne.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Visualizing data using t-sne

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T11:19:17.941698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc5f282-21d2-44ad-8cfb-3391478b8f0a · outbound

This paper cites The inaturalist species classification and detection dataset.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The inaturalist species classification and detection dataset

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.512889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c6a60f5b-3972-418a-beb0-a8c889d808c6 · outbound

This paper cites Vim: Out-of-distribution with virtual-logit matching.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Vim: Out-of-distribution with virtual-logit matching

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.498845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fae8141d-09be-4e94-aa5d-16f42c4eca3b · outbound

This paper cites Out-of-distribution detection with implicit outlier transformation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection with implicit outlier transformation

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.483720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40f2b8de-9514-4625-8d8f-3eca3113aa7d · outbound

This paper cites Mitigating neural network overconfidence with logit normalization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Mitigating neural network overconfidence with logit normalization

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.465688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da27c876-b4a3-48e7-87f9-02ce17933ae3 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Bayesian learning via stochastic gradient langevin dynamics

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.450515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ac0e8621-b79e-4d5f-a5a6-0b092cc5345b · outbound

This paper cites Contrastive Training for Improved Out-of-Distribution Detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Contrastive Training for Improved Out-of-Distribution Detection

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T11:19:17.968180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b36dea6-5a09-4988-acbd-dcfbc47ca02b · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Sun database: Large-scale scene recognition from abbey to zoo

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.436912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8a048887-573c-4f30-92d1-cbd3c8003b9b · outbound

This paper cites Scaling for training time and post-hoc out-of-distribution detection enhancement.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Scaling for training time and post-hoc out-of-distribution detection enhancement

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.423387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ec8c8cc-2f38-4662-8976-ece236805382 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T11:19:17.982433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c4df4c-2e1b-4131-a6ee-30a53e84c206 · outbound

This paper cites What if the input is expanded in ood detection? In Advances in Neural Information Processing Systems 37, 2024.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection What if the input is expanded in ood detection? In Advances in Neural Information Processing Systems 37, 2024

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.411184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation da566af9-8eb4-4f7c-a199-ee18ff67c7c0 · outbound

This paper cites Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T11:19:18.399254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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