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15 résultats
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triés par
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Unifying GANs and Score-Based Diffusion as Generative Particle ModelsThirty-seventh Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec 2023, New Orleans, LA, United States
Communication dans un congrès
hal-04107806v3
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PDE-Driven Spatiotemporal DisentanglementThe Ninth International Conference on Learning Representations, International Conference on Representation Learning, May 2021, Vienne, Austria
Communication dans un congrès
hal-02911067v3
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PDE-Driven Spatiotemporal DisentanglementThe Ninth International Conference on Learning Representations, May 2021, Vienne (virtual), Austria.
Poster de conférence
hal-03181039v1
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Unifying GANs and Score-Based Diffusion as Generative Particle ModelsAlice Oh; Tristan Naumann; Amir Globerson; Kate Saenko; Moritz Hardt; Sergey Levine. 37th Conference on Neural Information Processing Systems, Dec 2023, New Orleans, United States. Curran Associates, Inc., Advances in Neural Information Processing Systems, 36, 2023
Poster de conférence
hal-04322365v1
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A Neural Tangent Kernel Perspective of GANs39th International Conference on Machine Learning, International Machine Learning Society, Jul 2022, Baltimore, MD, United States. pp.6660-6704
Communication dans un congrès
hal-03254591v5
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A Neural Tangent Kernel Perspective of GANsPoster de conférence hal-03716574v1 |
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Unsupervised Scalable Representation Learning for Multivariate Time SeriesThirty-third Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec 2019, Vancouver, Canada. pp.4650--4661
Communication dans un congrès
hal-01998101v4
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Robustness of classifiers to uniform $\ell_p$ and Gaussian noiseTwenty-first International Conference on Artificial Intelligence and Statistics, Apr 2018, Playa Blanca, Spain. pp.1280-1288
Communication dans un congrès
hal-01715012v1
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Representation Learning and Deep Generative Modeling in Dynamical SystemsMachine Learning [cs.LG]. Sorbonne Université, 2022. English. ⟨NNT : 2022SORUS014⟩
Thèse
tel-03591720v1
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Continuous PDE Dynamics Forecasting with Implicit Neural RepresentationsPoster de conférence hal-04081163v1 |
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Continuous PDE Dynamics Forecasting with Implicit Neural RepresentationsThe Eleventh International Conference on Learning Representations, International Conference on Representation Learning, May 2023, Kigali, Rwanda
Communication dans un congrès
hal-03792179v2
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Stochastic Latent Residual Video PredictionThirty-seventh International Conference on Machine Learning, International Machine Learning Society, Jul 2020, Vienne, Austria. pp.3233--3246
Communication dans un congrès
hal-02484182v4
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Unsupervised Scalable Representation Learning for Multivariate Time SeriesHanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems
Poster de conférence
hal-02320167v2
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Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes2024
Pré-publication, Document de travail
hal-04509207v1
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RefinedFields: Radiance Fields Refinement for Unconstrained Scenes2023
Pré-publication, Document de travail
hal-04318414v3
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