Buyun Liang
Buyun Liang
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NCVX: A General-Purpose Optimization Solver for Machine Learning, and Practical Techniques
Constraints are new and increasingly trendy in machine and deep learning, stimulated by, e.g., neuro-symbolic AI that tries to …
Buyun Liang
,
Wenjie Zhang
,
Hengyue Liang
,
Tim Mitchell
,
Ying Cui
,
Ju Sun
Website
ICCOPT22 Slides
SDM2023 Tutorial Proposal
SDM 2023 slides
MMLS 2023 Poster
3M Poster (2023)
Optimization for Adversarial Robustness Evaluations and Implications from the Solution Patterns
Empirical evaluation of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization …
Hengyue Liang
,
Buyun Liang
,
Le Peng
,
Ying Cui
,
Tim Mitchell
,
Ju Sun
Paper
Neural Topology Optimization with Principled Constrained Optimization
Topology optimization (TO) is a mathematical approach to mechanical and multiphysics design with the objective of maximizing structural …
Buyun Liang
,
Ryan de Vera
,
Hengyue Liang
,
Ying Cui
,
Tim Mitchell
,
Qizhi He
,
Ju Sun
Using Neural Networks to Predict Radiation Damage to Lead Tungstate Crystals at the CERN LHC
The 72,000 lead tungstate crystals in CMS experiment at the CERN Large Hadron Collider are used to measure the energy of electrons and …
Buyun Liang
,
Bhargav Joshi
,
Taihui Li
,
Roger Rusack
,
Ju Sun
Last updated on Jul 247, 242424
Paper
Website
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning
Optimizing nonconvex (NCVX) problems, especially nonsmooth and constrained ones, is an essential part of machine learning. However, it …
Buyun Liang
,
Tim Mitchell
,
Ju Sun
Paper
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