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123 Results
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Workshop
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Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics Victoriya Kashtanova · Maxime Sermesant · patrick gallinari |
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Poster
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Wed 17:00 |
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning Wu Lin · Valentin Duruisseaux · Melvin Leok · Frank Nielsen · Khan Emtiyaz · Mark Schmidt |
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Poster
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Tue 14:00 |
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan · Bo Li · Xin Jin · Wenjun Zeng |
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Poster
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Wed 17:00 |
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi · Zhun Deng · Xu Ji · Jiaoyang Huang |
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Poster
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Wed 17:00 |
Deterministic equivalent and error universality of deep random features learning Dominik Schröder · Hugo Cui · Daniil Dmitriev · Bruno Loureiro |
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Workshop
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Interpreting deep embeddings for disease progression clustering Anna Munoz-Farre · Antonios Poulakakis-Daktylidis · Dilini Kothalawala · Andrea Rodriguez-Martinez |
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Workshop
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Continuous Time Evidential Distributions for Irregular Time Series Taylor Killian · Haoran Zhang · Thomas Hartvigsen · Ava Amini |
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Workshop
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Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo · Sonia Laguna · Daphné Chopard · Julia Vogt |
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Workshop
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A Generative Model for Text Control in Minecraft Shalev Lifshitz · Keiran Paster · Harris Chan · Jimmy Ba · Sheila McIlraith |
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Workshop
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Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa · Ekdeep Singh Lubana · Robert Dick · Hidenori Tanaka |
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Workshop
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Deep Generative Clustering with Multimodal Variational Autoencoders Emanuele Palumbo · Sonia Laguna · Daphné Chopard · Julia Vogt |
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Workshop
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Energy-Based Learning Algorithms: A Comparative Study Benjamin Scellier · Maxence Ernoult · Jack Kendall · Suhas Kumar |