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17 Results
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Workshop
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Orbital-Free Density Functional Theory with Continuous Normalizing Flows Rodrigo Vargas-Hernandez · Ricky T. Q. Chen · Alexandre de Camargo |
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Workshop
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Learning Conditional Policies for Crystal Design Using Offline Reinforcement Learning Prashant Govindarajan · Santiago Miret · Jarrid Rector-Brooks · Mariano Phielipp · Janarthanan Rajendran · Sarath Chandar |
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Workshop
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Fri 14:00 |
Scalable Diffusion for Materials Generation Sherry Yang · KwangHwan Cho · Amil Merchant · Pieter Abbeel · Dale Schuurmans · Igor Mordatch · Ekin Dogus Cubuk |
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Poster
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Thu 15:00 |
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data Bingqing Hu · Bin Nan |
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Poster
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Wed 15:00 |
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks Matthew Farrugia-Roberts |
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Poster
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Thu 8:45 |
Parallel Submodular Function Minimization Deeparnab Chakrabarty · Andrei Graur · Haotian Jiang · Aaron Sidford |
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Poster
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Thu 8:45 |
Theoretical and Practical Perspectives on what Influence Functions Do Andrea Schioppa · Katja Filippova · Ivan Titov · Polina Zablotskaia |
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Poster
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Wed 15:00 |
Demystifying Softmax Gating Function in Gaussian Mixture of Experts Huy Nguyen · TrungTin Nguyen · Nhat Ho |
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Poster
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Wed 15:00 |
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent Yibo Yang · Stephan Eckstein · Marcel Nutz · Stephan Mandt |
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Poster
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Thu 8:45 |
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability Hanlin Zhu · Amy Zhang |
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Poster
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Tue 15:15 |
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani · Amirreza Kazemi · Reza Babanezhad Harikandeh · Nicolas Le Roux |
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Poster
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Thu 15:00 |
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions Leonidas Tsepenekas · Ivan Brugere · Freddy Lecue · Daniele Magazzeni |