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Oral
Tue 21:18 MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen · Zichang Liu · Binghui Peng · Zhaozhuo Xu · Jonathan L Li · Tri Dao · Zhao Song · Anshumali Shrivastava · Christopher Re
Oral
Thu 0:30 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
Poster
Wed 9:00 Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
Poster
Mon 1:00 Spatially Structured Recurrent Modules
Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf
Poster
Tue 17:00 SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Myeongjang Pyeon · Jihwan Moon · Taeyoung Hahn · Gunhee Kim
Poster
Thu 9:00 Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
Poster
Wed 17:00 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp
Spotlight
Thu 3:15 Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
Spotlight
Tue 5:28 Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
Poster
Wed 1:00 Fooling a Complete Neural Network Verifier
Dániel Zombori · Balázs Bánhelyi · Tibor Csendes · István Megyeri · Márk Jelasity
Spotlight
Tue 12:50 Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
Poster
Tue 1:00 Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz