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Poster
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Fri 16:30
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Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
Dmitry Kovalev · Ekaterina Borodich · Alexander Gasnikov · Dmitrii Feoktistov
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Poster
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Wed 16:30
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Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
Masahito Uwamichi · Simon Schnyder · Tetsuya J. Kobayashi · Satoshi Sawai
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Poster
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Thu 16:30
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Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
Seungwoo Yoo · Juil Koo · Kyeongmin Yeo · Minhyuk Sung
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Poster
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Fri 16:30
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Non-Euclidean Mixture Model for Social Network Embedding
Roshni Iyer · Yewen Wang · Wei Wang · Yizhou Sun
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Affinity Event
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Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
Arthur M. Sasse · Claudio de Farias
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Poster
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Wed 11:00
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An Analysis of Robustness of Non-Lipschitz Networks
Maria-Florina Balcan · Avrim Blum · Dravyansh Sharma · Hongyang Zhang
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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Poster
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Thu 11:00
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Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
Lorenzo Orecchia · Jiawei Hu · Xue He · Wang Mark · Xulei Yang · Min Wu · Xue Geng
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Session
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Fri 10:00
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Overflow for Oral Session 5B: Graph Neural Networks, Causal Inference
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Poster
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Fri 11:00
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Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks
Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt
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