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Oral
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Learning Graph Node Embeddings by Smooth Pair Sampling
In Oral Session 1: Deep Learning and Learning Theory
Konstantin Kutzkov
[ Slides]  [ OpenReview] 
Oral
None
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
In Oral Session 1 | Deep Learning and Learning Theory
Ashwin Samudre · Mircea Petrache · Brian Nord · Shubhendu Trivedi
[ OpenReview] 
Oral
None
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
In Oral Session 1 | Deep Learning and Learning Theory
Rafał Karczewski · Samuel Kaski · Markus Heinonen · Vikas Garg
[ OpenReview] 
Oral
None
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
In Oral Session 1 | Deep Learning and Learning Theory
Yatin Dandi · Luca Pesce · Hugo Cui · FLORENT KRZAKALA · Yue Lu · Bruno Loureiro
[ OpenReview] 
Oral
None
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
In Oral Session 1 | Deep Learning and Learning Theory
Arindam Banerjee · Qiaobo Li · Yingxue Zhou
[ OpenReview]