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Workshop
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Physics-informed Localized Learning for Advection-Diffusion-Reaction Systems
Surya Sathujoda · Soham Sheth
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Workshop
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Fri 16:40
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GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
Shreyas N. Samaga
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Workshop
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Fairness in Preference-based Reinforcement Learning
Umer Siddique · Abhinav Sinha · Yongcan Cao
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Poster
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Tue 17:00
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Active Learning based Structural Inference
Aoran Wang · Jun Pang
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Workshop
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Representation Learning in Low-rank Slate-based Recommender Systems
Yijia Dai · Wen Sun
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Workshop
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Physics-based deep learning framework to learn and forecast cardiac electrophysiology dynamics
Victoriya Kashtanova · Maxime Sermesant · patrick gallinari
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Workshop
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Query-Policy Misalignment in Preference-Based Reinforcement Learning
Xiao Hu · Jianxiong Li · Xianyuan Zhan · Qing-Shan Jia · Ya-Qin Zhang
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Workshop
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Fri 19:00
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GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
Cheng Xin · Soham Mukherjee · Shreyas N. Samaga · Tamal Dey
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Poster
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Tue 14:00
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Set-membership Belief State-based Reinforcement Learning for POMDPs
Wei Wei · Lijun Zhang · Lin Li · Huizhong Song · Jiye Liang
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Workshop
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Physics-Constrained Random Forests for Turbulence Model Uncertainty Estimation
Marcel Matha
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Workshop
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Task-Linear Deep Representation of Physical Systems
Matthieu Blanke · Marc Lelarge
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Poster
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Wed 14:00
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Learning Physical Models that Can Respect Conservation Laws
Derek Hansen · Danielle Robinson · Shima Alizadeh · Gaurav Gupta · Michael Mahoney
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