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Poster
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Fri 16:30
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Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
Dmitry Kovalev · Ekaterina Borodich · Alexander Gasnikov · Dmitrii Feoktistov
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Poster
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Wed 11:00
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Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi · Celia Rubio-Madrigal · Rebekka Burkholz
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Poster
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Fri 11:00
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Quantum Algorithms for Non-smooth Non-convex Optimization
Chengchang Liu · Chaowen Guan · Jianhao He · John C. S. Lui
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Workshop
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Smoothing-Based Adversarial Defense Methods for Inverse Problems
Yang Sun · Jonathan Scarlett
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Poster
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Fri 11:00
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Convergence of log(1/ϵ) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis
Ioannis Anagnostides · Tuomas Sandholm
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Poster
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Wed 11:00
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Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
VIET HO TAM THUC DO · Parham Eftekhar · Seyed Alireza Hosseini · Gene Cheung · Philip Chou
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Poster
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Fri 16:30
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SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
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Poster
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Wed 11:00
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Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
Saiyue Lyu · Shadab Shaikh · Frederick Shpilevskiy · Evan Shelhamer · Mathias Lécuyer
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Poster
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Thu 11:00
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Metric Flow Matching for Smooth Interpolations on the Data Manifold
Kacper Kapusniak · Peter Potaptchik · Teodora Reu · Leo Zhang · Alexander Tong · Michael Bronstein · Joey Bose · Francesco Di Giovanni
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Poster
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Fri 11:00
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Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
Susung Hong
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Poster
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Wed 16:30
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Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models
Aref Rekavandi · Farhad Farokhi · Olga Ohrimenko · Benjamin Rubinstein
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Poster
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Fri 16:30
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Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation
Kaibo Zhang · Yunjuan Wang · Raman Arora
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