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Poster
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Thu 11:00
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Graph Coarsening with Message-Passing Guarantees
Antonin Joly · Nicolas Keriven
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Affinity Event
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Integrating Graph Neural Networks and Enhanced Sampling for Cryptic Pocket Discovery
Bodhi Vani
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Affinity Event
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Detecting and Approximating Redundant Computational Blocks in Neural Networks
Irene Cannistraci · Emanuele Rodolà · Bastian Rieck
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Affinity Event
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Multi-Modal Input Integration Using Convolutional Neural Networks to Predict CRISPRi Efficacy
Renee Napoliello · Lucas Ferns · Hongru Hu · Lacey Malina Walker · Gerald Quon
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Affinity Event
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Embracing Queer and Crip Complexity in Machine Learning: Dirty Resilience and Sweaty AI
Gopinaath Kannabiran · Sacha Knox
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Poster
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Fri 11:00
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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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Poster
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Wed 11:00
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Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim · Soo Yong Lee · Fanchen Bu · Shinhwan Kang · Kyungho Kim · Jaemin Yoo · Kijung Shin
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Affinity Event
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Enhancing Water Stress Classification using Drift-Aware Dynamic Neural Networks
Tejasri Nampally · Rajalakshmi pachamuthu · Balaji Banothu · Uday Desai
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Affinity Event
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Out-of-Distribution performance as a proxy metric for graph neural network explainers in the absence of ground-truth explanations
Guadalupe Gonzalez · Chirag Agarwal · Siddharth Betala
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Poster
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Wed 16:30
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Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
Zih-Syuan Huang · Ching-pei Lee
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Affinity Event
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Toward Comprehensive Neural Network Robustness
Fatemeh Amerehi · Patrick Healy
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Poster
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Fri 16:30
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Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain · Indradyumna Roy · Saswat Meher · Soumen Chakrabarti · Abir De
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