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Poster
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Tue 4:30
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Symmetry Induces Structure and Constraint of Learning
Liu Ziyin
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Workshop
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Sat 5:50
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Invited: Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Nina Miolane
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Poster
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Tue 2:30
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Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao · Kaixiong Zhou · Yili Wang · Ninghao Liu · Ying Wang · Xin Wang
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Workshop
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Learning to Design Data-structures: A Case Study of Nearest Neighbor Search
Omar Salemohamed · Vatsal Sharan · Shivam Garg · Laurent Charlin · Greg Valiant
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Workshop
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Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti · Daniele Zambon · Cesare Alippi
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Poster
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Thu 4:30
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Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder · Daniil Dmitriev · Hugo Cui · Bruno Loureiro
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Workshop
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How In-Context Learning Emerges from Training on Unstructured Data: The Role of Co-Occurrence, Positional Information, and Noise Structures
Kevin Christian Wibisono · Yixin Wang
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Poster
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Wed 2:30
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Stable Differentiable Causal Discovery
Achille Nazaret · Justin Hong · Elham Azizi · David Blei
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Workshop
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How In-Context Learning Emerges from Training on Unstructured Data: The Role of Co-Occurrence, Positional Information, and Noise Structures
Kevin Christian Wibisono · Yixin Wang
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Poster
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Wed 4:30
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How Transformers Learn Causal Structure with Gradient Descent
Eshaan Nichani · Alex Damian · Jason Lee
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Workshop
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ABodyBuilder3: Improved and scalable antibody structure predictions
Henry Kenlay · Frederic Dreyer · Daniel Cutting · Daniel Nissley · Charlotte Deane
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Workshop
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MESS: Modern Electronic Structure Simulations
Hatem Helal · Andrew Fitzgibbon
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