Summary of Symmetry From Scratch: Group Equivariance As a Supervised Learning Task, by Haozhe Huang et al.
Symmetry From Scratch: Group Equivariance as a Supervised Learning Taskby Haozhe Huang, Leo Kaixuan Cheng,…
Symmetry From Scratch: Group Equivariance as a Supervised Learning Taskby Haozhe Huang, Leo Kaixuan Cheng,…
Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application…
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for…
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reductionby Xinwei Zhang, Zhiqi Bu,…
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Ratesby Fabian Akkerman, Nils Knofius, Matthieu…
Improving Neural Optimal Transport via Displacement Interpolationby Jaemoo Choi, Yongxin Chen, Jaewoong ChoiFirst submitted to…
System 2 Reasoning Capabilities Are Nighby Scott C. LoweFirst submitted to arxiv on: 4 Oct…
Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimizationby K. Lian, L.…
Artificial intelligence inspired freeform optics design: a reviewby Lei Feng, Jingxing Liao, Jingna YangFirst submitted…
Teaching Transformers Modular Arithmetic at Scaleby Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin LauterFirst submitted…