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Poster
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Thu 15:00
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Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu · Ye Shi · Jingya Wang
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Poster
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Tue 15:15
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MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability
Fabien Casenave · Brian Staber · Xavier Roynard
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Poster
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Wed 15:00
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Efficiently incorporating quintuple interactions into geometric deep learning force fields
Zun Wang · Guoqing Liu · Yichi Zhou · Tong Wang · Bin Shao
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Poster
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Wed 15:00
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Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim · Joshua Robinson · Stefanie Jegelka · Haggai Maron
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Poster
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Thu 8:45
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Combating Representation Learning Disparity with Geometric Harmonization
Zhihan Zhou · Jiangchao Yao · Feng Hong · Ya Zhang · Bo Han · Yanfeng Wang
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Poster
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Tue 15:15
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Coneheads: Hierarchy Aware Attention
Albert Tseng · Tao Yu · Toni Liu · Christopher De Sa
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Poster
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Tue 15:15
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Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Wang · Minh Nguyen · Mert Sabuncu
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Poster
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Tue 8:45
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Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Parikshit Gopalan · Michael Kim · Omer Reingold
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Workshop
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Sat 9:25
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Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
Shuvro Chowdhury · Shaila Niazi · Kerem Camsari
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Poster
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Tue 15:15
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Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Zhen Liu · ma peitian · Dongliang Chen · Wenbin Pei · Qianli Ma
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Workshop
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Can Semi-Supervised Learning Improve Prediction of Deep Learning Model Resource Consumption?
Karthick Panner Selvam · Mats Brorsson
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Poster
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Tue 15:15
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What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander · Nimrod De La Vega · Noam Razin · Nadav Cohen
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