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Workshop
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Near-optimal decentralized algorithms for network dynamic optimization
Judy Gan · Yashodhan Kanoria · Xuan Zhang
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Workshop
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Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
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Poster
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Wed 9:00
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PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration
Xuan Li · Yadi Cao · Minchen Li · Yin Yang · Craig Schroeder · Chenfanfu Jiang
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Poster
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Tue 14:00
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Non-deep Networks
Ankit Goyal · Alexey Bochkovskiy · Jia Deng · Vladlen Koltun
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Poster
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Tue 9:00
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Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
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Poster
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Wed 14:00
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DNA: Proximal Policy Optimization with a Dual Network Architecture
Matthew Aitchison · Penny Sweetser
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Affinity Workshop
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MKA-Net: Multi-Kernel Attention Conv-Network
Abenezer G Girma · Nana Kankam Gyimah
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Poster
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Tue 14:00
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Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks
Shuoguang Yang · Xuezhou Zhang · Mengdi Wang
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Workshop
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Network Pruning at Scale: A Discrete Optimization Approach
Wenyu Chen · Riade Benbaki · Xiang Meng · Rahul Mazumder
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Poster
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TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin · Andrei Chertkov · Roman Schutski · Anh-Huy Phan · Andrzej S CICHOCKI · Ivan Oseledets
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Workshop
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The emergence of visual simulation in task-optimized recurrent neural networks
Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Drew Linsley · David Sheinberg · Thomas Serre
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Poster
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Tue 14:00
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Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann · Enrique Fita Sanmartín · Fred Hamprecht
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