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Workshop
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Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo · Shunyue Yuan · James Stokes · Bryan Clark
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Competition
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Thu 5:30
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Team KAIST_AI - Region-Conditioned Orthogonal 3D U-Net forWeather4Cast Competition
Taehyeon Kim
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Workshop
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Surrogate modeling of stress fields in periodic polycrystalline microstructures using U-Net and Fourier neural operators
Sarthak Kapoor · Jaber Mianroodi · Bob Svendsen · Mohammad Khorrami · Nima Siboni
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Workshop
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Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity
Yuchen Fang · Sen Na · Mladen Kolar
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Workshop
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Lattice Quantization
Clément Metz · Thibault Allenet · Johannes Thiele · Antoine DUPRET · Olivier BICHLER
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Expo Talk Panel
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Mon 12:00
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Towards learning agents for solving complex real-world tasks
Honglak Lee
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Workshop
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Theory and Algorithm for Batch Distribution Drift Problems
Pranjal Awasthi · Corinna Cortes · Christopher Mohri
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Tutorial
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Mon 17:00
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Theory and Practice of Efficient and Accurate Dataset Construction
Frederic Sala · Ramya Korlakai Vinayak
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Workshop
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Equivariance with Learned Canonical Mappings
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh
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Poster
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Tue 9:00
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Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
Andrew Wagenmaker · Kevin Jamieson
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Workshop
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Sat 9:00
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Equivariance with Learned Canonical Mappings
Oumar Kaba · Arnab Mondal · Yan Zhang · Yoshua Bengio · Siamak Ravanbakhsh
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Workshop
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Towards automating formalisation of theorem statements using large language models
Siddhartha Gadgil · Anand Tadipatri · Navin Goyal · Ayush Agrawal · Ashvni Narayanan
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