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9 Results
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Workshop
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Sun 11:20 |
Learned Random Label Predictions as a Neural Network Complexity Metric Marlon Becker · Benjamin Risse |
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Workshop
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Winning Tickets from Random Initialization: Aligning Masks for Sparse Training Rohan Jain · Mohammed Adnan · Ekansh Sharma · Yani Ioannou |
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Poster
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Fri 11:00 |
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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Workshop
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Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks Ouns El Harzli · Bernardo Grau |
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Workshop
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Partially Frozen Random Networks Contain Compact Strong Lottery Tickets Hikari Otsuka · Daiki Chijiwa · Ángel López García-Arias · Yasuyuki Okoshi · Kazushi Kawamura · Thiem Van Chu · Daichi Fujiki · Susumu Takeuchi · Masato Motomura |
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Workshop
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PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation Amin Davoodabadi · Negin Hashemi Dijujin · Mahdieh Soleymani |
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Poster
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Fri 16:30 |
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks Guglielmo Gattiglio · Lyudmila Grigoryeva · Massimiliano Tamborrino |
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Poster
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Wed 16:30 |
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks Etai Littwin · Omid Saremi · Madhu Advani · Vimal Thilak · Preetum Nakkiran · Chen Huang · Joshua Susskind |
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Poster
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Fri 16:30 |
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion Lubo Wang · Di Lin · Kairui Yang · Ruonan Liu · Qing Guo · Wuyuan Xie · Miaohui Wang · Lingyu Liang · Yi Wang · Ping Li |