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Workshop
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Asymmetric Norms to Approximate the Minimum Action Distance
Lorenzo Steccanella · Anders Jonsson
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Poster
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Wed 8:45
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Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization
Russell Hart · Linlin Yu · Yifei Lou · Feng Chen
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Poster
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Thu 8:45
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RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Zhuoqun Huang · Neil G Marchant · Keane Lucas · Lujo Bauer · Olga Ohrimenko · Benjamin Rubinstein
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Poster
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Tue 15:15
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Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions
Samantha Chen · Yusu Wang
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Poster
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Wed 15:00
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Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance
Jiaming Qiu · Xiongtao Dai
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Poster
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Tue 8:45
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Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Khai Nguyen · Tongzheng Ren · Nhat Ho
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Poster
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Wed 15:00
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k-Means Clustering with Distance-Based Privacy
Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
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Poster
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Wed 8:45
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Is Distance Matrix Enough for Geometric Deep Learning?
Zian Li · Xiyuan Wang · Yinan Huang · Muhan Zhang
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Poster
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Wed 15:00
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Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
Junru Zhou · Jiarui Feng · Xiyuan Wang · Muhan Zhang
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Workshop
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Absolute Variation Distance: an Inversion Attack Evaluation Metric for Federated Learning
Georgios Papadopoulos · Yash Satsangi · Shaltiel Eloul · Marco Pistoia
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Poster
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Wed 15:00
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NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang · Junhui Hou · Yohanes Adikusuma · Wenping Wang · Ying He
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Workshop
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Learning Symmetrization for Equivariance with Orbit Distance Minimization
Dat Nguyen · Jinwoo Kim · Hongseok Yang · Seunghoon Hong
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