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Poster
Thu 4:30 Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh · Saba Ghaffari · Timothy Bretl · Luke Olson · Matthew West
Workshop
Fairness through partial awareness: Evaluation of the addition of demographic information for bias mitigation methods
Chung Peng Lee · Rachel Hong · Jamie Morgenstern
Poster
Tue 2:30 Learning to Explore in POMDPs with Informational Rewards
Annie Xie · Logan M. Bhamidipaty · Evan Liu · Joey Hong · Sergey Levine · Chelsea Finn
Poster
Tue 4:30 Stealthy Imitation: Reward-guided Environment-free Policy Stealing
Zhixiong Zhuang · Maria-Irina Nicolae · Mario Fritz
Workshop
Physics-Informed Neural Networks for Derivative-Constrained PDEs
Kentaro Hoshisashi · Carolyn Phelan · Paolo Barucca
Workshop
Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-based Selection
Somrita Ghosh · Yuelin Xu · Xiao Zhang
Poster
Thu 4:30 QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
Lu Bai · Lixin Cui · Ming Li · Yue Wang · Edwin Hancock
Workshop
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
Nathan Beck · Adithya Iyer · Rishabh Iyer
Poster
Thu 4:30 Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
Yiming Meng · Ruikun Zhou · Amartya Mukherjee · Maxwell Fitzsimmons · Christopher Song · Jun Liu
Poster
Thu 2:30 Localizing Task Information for Improved Model Merging and Compression
Ke Wang · Nikolaos Dimitriadis · Guillermo Ortiz-Jimenez · François Fleuret · Pascal Frossard
Poster
Tue 4:30 Efficient Error Certification for Physics-Informed Neural Networks
Francisco Eiras · Adel Bibi · Rudy Bunel · Krishnamurthy Dvijotham · Phil Torr · M. Pawan Kumar
Poster
Tue 2:30 Matrix Information Theory for Self-Supervised Learning
Yifan Zhang · Zhiquan Tan · Jingqin Yang · Weiran Huang · Yang Yuan