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Workshop
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Fri 17:30
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Outstanding Paper: Formal Control Synthesis for Stochastic Neural Network Dynamic Models - Steven Adams, Morteza Lahijanian, Luca Laurenti
Steven Adams
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Workshop
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Why Quantization Improves Generalization: NTK of Binary Weight Neural Network
Kaiqi Zhang · Ming Yin · Yu-Xiang Wang
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Workshop
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How Does Adaptive Optimization Impact Local Neural Network Geometry?
Kaiqi Jiang · Dhruv Malik · Yuanzhi Li
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Affinity Workshop
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Mon 19:15
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Gabor Filters as Initializers for Convolutional Neural Networks: A Study on Inductive Bias and Performance on Image Classification
Pablo Rivas · Mehang Rai
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Workshop
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Anomaly Detection in Networks via Score-Based Generative Models
Dmitrii Gavrilev · Evgeny Burnaev
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Workshop
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Fri 18:30
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How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti
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Workshop
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Evaluating the diversity and utility of materials proposed by generative models
Alexander New · Michael Pekala · Elizabeth Pogue · Nam Q. Le · Janna Domenico · Christine Piatko · Christopher Stiles
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Workshop
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Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information
Seongsik Park · Jeonghee Jo · Jongkil Park · Yeonjoo Jeong · Jaewook Kim · Suyoun Lee · Joon Young Kwak · Inho Kim · Jong-keuk Park · Kyeong Lee · Hwang Weon · Hyun Jae Jang
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Workshop
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Accelerating Molecular Graph Neural Networks via Knowledge Distillation
Filip Ekström Kelvinius · Dimitar Georgiev · Artur Toshev · Johannes Gasteiger
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Workshop
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Good Lattice Accelerates Physics-Informed Neural Networks
Takashi Matsubara · Takaharu Yaguchi
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Workshop
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Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness
Francesco Campi · Lukas Gosch · Tom Wollschläger · Yan Scholten · Stephan Günnemann
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