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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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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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Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
Amnon Geifman · Daniel Barzilai · Ronen Basri · Meirav Galun
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Workshop
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HINT: Hierarchical Coherent Networks For Constrained Probabilistic Forecasting
Kin Gutierrez · David Luo · Cristian Challu · Stefania La Vattiata · Max Mergenthaler Canseco · Artur Dubrawski
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Workshop
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How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy
Zhao Wei · Jian Cheng Wong · Nicholas Sung · Abhishek Gupta · Chin Chun Ooi · Pao-Hsiung Chiu · My Ha Dao · Yew Soon ONG
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Workshop
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Sat 13:30
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Joseph Shenouda: A Representer Theorem for Vector-Valued Neural Networks: Insights on Weight Decay Training and Widths of Deep Neural Networks
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Workshop
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Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Jiong Zhu · Aishwarya Naresh Reganti · Edward Huang · Charles Dickens · Nikhil Rao · Karthik Subbian · Danai Koutra
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Poster
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Wed 17:00
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Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
Brian Irwin · Eldad Haber · Raviv Gal · Avi Ziv
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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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