Workshop
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Provably Convergent Data-Driven Convex-Nonconvex Regularization
Zakhar Shumaylov · Jeremy Budd · Subhadip Mukherjee · Carola-Bibiane Schönlieb
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Poster
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Thu 8:45
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Principled Weight Initialisation for Input-Convex Neural Networks
Pieter-Jan Hoedt · Günter Klambauer
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Poster
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Thu 8:45
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MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
Nicolas Menet · Michael Hersche · Geethan Karunaratne · Luca Benini · Abu Sebastian · Abbas Rahimi
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Poster
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Tue 8:45
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Asymmetric Certified Robustness via Feature-Convex Neural Networks
Samuel Pfrommer · Brendon Anderson · Julien Piet · Somayeh Sojoudi
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Poster
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Wed 15:00
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GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
Xiao Zang · Miao Yin · Jinqi Xiao · Saman Zonouz · Bo Yuan
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Workshop
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Sat 12:02
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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Workshop
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Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
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Workshop
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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Workshop
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What’s in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang · Sam Buchanan · Jeremias Sulam
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Poster
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Tue 8:45
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CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
Fatih Dinc · Adam Shai · Mark Schnitzer · Hidenori Tanaka
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Poster
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Wed 15:00
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Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
Rajat Vadiraj Dwaraknath · Tolga Ergen · Mert Pilanci
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Workshop
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Fri 8:50
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Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua · Rasool Ahmad · Jose Blanchet · Wei Cai
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