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51 Results
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Poster
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Tue 17:00 |
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics Daniel Kunin · Javier Sagastuy-Brena · Surya Ganguli · Daniel L Yamins · Hidenori Tanaka |
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Poster
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Tue 17:00 |
DDPNOpt: Differential Dynamic Programming Neural Optimizer Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou |
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Poster
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Tue 9:00 |
On the Dynamics of Training Attention Models Haoye Lu · Yongyi Mao · Amiya Nayak |
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Poster
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Tue 9:00 |
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun · Da Huo · Furong Huang |
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Poster
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Thu 1:00 |
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu · Shitong Luo · Yoshua Bengio · Jian Peng · Jian Tang |
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Poster
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Thu 1:00 |
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima Zeke Xie · Issei Sato · Masashi Sugiyama |
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Poster
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Tue 9:00 |
The geometry of integration in text classification RNNs Kyle Aitken · Vinay Ramasesh · Ankush Garg · Yuan Cao · David Sussillo · Niru Maheswaranathan |
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Poster
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Thu 9:00 |
Dynamic Tensor Rematerialization Marisa Kirisame · Steven S. Lyubomirsky · Altan Haan · Jennifer Brennan · Mike He · Jared G Roesch · Tianqi Chen · Zachary Tatlock |
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Poster
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Wed 17:00 |
Revisiting Dynamic Convolution via Matrix Decomposition Yunsheng Li · Yinpeng Chen · Xiyang Dai · mengchen liu · Dongdong Chen · Ye Yu · Lu Yuan · Zicheng Liu · Mei Chen · Nuno Vasconcelos |
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Poster
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Tue 1:00 |
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize Nils Wandel · Michael Weinmann · Reinhard Klein |
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Poster
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Tue 9:00 |
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime Andrea Agazzi · Jianfeng Lu |
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Poster
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Mon 9:00 |
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang |