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Workshop
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CuriousWalk: Enhancing Multi-Hop Reasoning in Graphs with Random Network Distillation
Varun Kausika · Saurabh Jha · Adya Jha · Amy Zhang · Michael Sury
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Poster
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Thu 15:00
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Training Your Image Restoration Network Better with Random Weight Network as Optimization Function
man zhou · Naishan Zheng · Yuan Xu · Chun-Le Guo · Chongyi Li
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Poster
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Wed 15:00
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Probabilistic Invariant Learning with Randomized Linear Classifiers
Leonardo Cotta · Gal Yehuda · Assaf Schuster · Chris Maddison
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Poster
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Thu 15:00
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The Separation Capacity of Random Neural Networks
Sjoerd Dirksen · Martin Genzel · Laurent Jacques · Alexander Stollenwerk
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Workshop
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Random Feature Hopfield Networks generalize retrieval to previously unseen examples
Matteo Negri · Clarissa Lauditi · Gabriele Perugini · Carlo Lucibello · Enrico Malatesta
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Workshop
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Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
Jinyung Hong · Theodore P. Pavlic
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Workshop
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Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
Jinyung Hong · Theodore P. Pavlic
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Poster
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Thu 8:45
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Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Cai Zhou · Xiyuan Wang · Muhan Zhang
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Poster
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Wed 8:45
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What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven · Samuel Vaiter
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Poster
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Wed 8:45
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Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks
Jules Berman · Benjamin Peherstorfer
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Workshop
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Toward Student-oriented Teacher Network Training for Knowledge Distillation
Chengyu Dong · Liyuan Liu · Jingbo Shang
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Workshop
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FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan · Ruofan Wu · Tengfei LIU · Tianyi Zhang · Yifei Zhu · Weiqiang Wang
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