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Poster
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Wed 9:00
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Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
Bohang Zhang · Du Jiang · Di He · Liwei Wang
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Poster
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Thu 9:00
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Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li · Jikai Jin · Han Zhong · John Hopcroft · Liwei Wang
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Poster
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Thu 9:00
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How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng · Yixin Chen · Fuhai Li · Anindya Sarkar · Muhan Zhang
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Poster
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Thu 14:00
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Size and depth of monotone neural networks: interpolation and approximation
Dan Mikulincer · Daniel Reichman
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Workshop
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ExpressUrself: A spatial model for predicting recombinant expression from mRNA sequence
Michael P Dunne · Javier Caceres-Delpiano
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Workshop
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A single-cell gene expression language model
William Connell · Umair Khan · Michael Keiser
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Workshop
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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Workshop
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On the Expressive Power of Geometric Graph Neural Networks
Cristian Bodnar · Chaitanya K. Joshi · Simon Mathis · Taco Cohen · Pietro Liò
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Workshop
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Expectation Complete Graph Representations using Graph Homomorphisms
Maximilian Thiessen · Pascal Welke · Thomas Gärtner
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Workshop
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Personalised drug recommendation from augmented gene expression data - the right drug(s) for the right patient
Manuela Salvucci · Francesca Mulas · Marika Catapano
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Workshop
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Agent-based Graph Neural Networks
Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer
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Workshop
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Provably expressive temporal graph networks
Amauri Souza · Diego Mesquita · Samuel Kaski · Vikas Garg
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