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Poster
Tue 1:00 Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
Poster
Tue 1:00 Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Ziyao Li · Shuwen Yang · Guojie Song · Lingsheng Cai
Poster
Wed 1:00 Neural ODE Processes
Alexander Norcliffe · Cristian Bodnar · Ben Day · Jacob Moss · Pietro Liò
Poster
Thu 17:00 Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
Anirudh Goyal · Alex Lamb · Phanideep Gampa · Philippe Beaudoin · Charles Blundell · Sergey Levine · Yoshua Bengio · Michael Mozer
Poster
Tue 1:00 Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?
Balázs Kégl · Gabriel Hurtado · Albert Thomas
Poster
Tue 17:00 Usable Information and Evolution of Optimal Representations During Training
Michael Kleinman · Alessandro Achille · Daksh Idnani · Jonathan Kao
Poster
Tue 17:00 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Michael Zhang · Thomas Paine · Ofir Nachum · Cosmin Paduraru · George Tucker · ziyu wang · Mohammad Norouzi
Poster
Thu 9:00 Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang · Tete Xiao · Alexei Efros · Lerrel Pinto · Xiaolong Wang
Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Poster
Wed 17:00 Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi · Xiaolong Wang · Deepak Pathak · Yi Ma · Jitendra Malik
Poster
Thu 17:00 DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation
Minjia Zhang · Menghao Li · Chi Wang · Mingqin Li
Poster
Mon 17:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama