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Affinity Workshop
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Mon 6:55
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Contributed talk - (Paula Harder) - "Physics-Constrained Deep Learning for Climate Downscaling"
Paula Harder
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Affinity Workshop
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Physics-Constrained Deep Learning for Climate Downscaling
Paula Harder · Qidong Yang · Venkatesh Ramesh · Prasanna Sattigeri · Alex Hernandez-Garcia · Campbell Watson · Daniela Szwarcman · David Rolnick
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Workshop
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Fri 9:30
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Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals
Sina Akbarian · Qayam Jetha · Jouhyun Jeon
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Workshop
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Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces
Xiaying Wang · Rodolfo Octavio Siller Quintanilla · Michael Hersche · Luca Benini · Gagandeep Singh
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Poster
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Wed 9:00
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Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang · Justinian Rosca · Karthik Narasimhan · Peter J Ramadge
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Poster
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Constrained Update Projection Approach to Safe Policy Optimization
Long Yang · Jiaming Ji · Juntao Dai · Linrui Zhang · Binbin Zhou · Pengfei Li · Yaodong Yang · Gang Pan
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Workshop
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Why are deep learning-based models of geophysical turbulence long-term unstable?
Ashesh Chattopadhyay · Pedram Hassanzadeh
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Poster
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Wed 14:00
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Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish K Jayant · Shalabh Bhatnagar
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Workshop
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NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
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Poster
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Tue 14:00
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Pyramid Attention For Source Code Summarization
Lei Chai · Ming LI
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Workshop
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Reconstruction of polymer structures from contact maps with Deep Learning
Atreya Dey
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Poster
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Wed 14:00
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The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
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