A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models | Paper Citation Record

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Greenwade

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This paper cites The Emergence of Reproducibility and Generalizability in Diffusion Models.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models The Emergence of Reproducibility and Generalizability in Diffusion Models

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models International Conference on Machine Learning , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Generalization in diffusion models arises from geometry-adaptive harmonic representations

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This paper cites How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?

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This paper cites On Memorization in Diffusion Models.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models On Memorization in Diffusion Models

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This paper cites On the Generalization of Diffusion Model.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models On the Generalization of Diffusion Model

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

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models International conference on artificial intelligence and statistics , year=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models European Conference on Computer Vision , pages=

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This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

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This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 12

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This paper cites Building Normalizing Flows with Stochastic Interpolants.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Building Normalizing Flows with Stochastic Interpolants

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This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Score-Based Generative Modeling through Stochastic Differential Equations

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Flow Matching for Generative Modeling

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This paper cites International Conference on Machine Learning , pages=.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models International Conference on Machine Learning , pages=

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This paper cites Conditional Stochastic Interpolation for Generative Learning.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Conditional Stochastic Interpolation for Generative Learning

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This paper cites Do Generated Data Always Help Contrastive Learning?.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Do Generated Data Always Help Contrastive Learning?

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This paper cites ICML 2023 workshop on structured probabilistic inference \ & \ generative modeling , year=.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models ICML 2023 workshop on structured probabilistic inference \ & \ generative modeling , year=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Large Language Diffusion Models

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This paper cites Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

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This paper cites Scaling Diffusion Language Models via Adaptation from Autoregressive Models.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Scaling Diffusion Language Models via Adaptation from Autoregressive Models

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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This paper cites Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF international conference on computer vision , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in neural information processing systems , volume=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models International conference on machine learning , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Improved Baselines with Momentum Contrastive Learning

Reference 32

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models arXiv e-prints , pages=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models A Good Score Does not Lead to A Good Generative Model

Reference 37

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

Reference 39

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This paper cites & Mézard, M.Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in TrainingarXiv:2505.17638 [cs].

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models & Mézard, M.Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in TrainingarXiv:2505.17638 [cs]

Reference 40

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Journal of Machine Learning Research , year =

Reference 41

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in neural information processing systems , volume=

Reference 42

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

Reference 43

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models How diffusion models memorize

Reference 44

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Provable separations between memo- rization and generalization in diffusion models

Reference 45

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Generalization of Diffusion Models Arises with a Balanced Representation Space

Reference 46

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Selective underfitting in diffusion models

Reference 47

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling , year=

Reference 48

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models arXiv preprint arXiv:2601.19285 , year=

Reference 49

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models arXiv preprint arXiv:2602.17846 , year=

Reference 50

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 51

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models 2026 , eprint=

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 53

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models arXiv preprint arXiv:2601.21348 , year=

Reference 54

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

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Advances in Neural Information Processing Systems , volume=

Reference 55

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A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models arXiv preprint arXiv:2603.13421 , year=

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