Summary of Depth Separation in Norm-bounded Infinite-width Neural Networks, by Suzanna Parkinson et al.
Depth Separation in Norm-Bounded Infinite-Width Neural Networksby Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir,…
Summary of Uncertainty Quantification Via Stable Distribution Propagation, by Felix Petersen et al.
Uncertainty Quantification via Stable Distribution Propagationby Felix Petersen, Aashwin Mishra, Hilde Kuehne, Christian Borgelt, Oliver…
Summary of Apalu: a Trainable, Adaptive Activation Function For Deep Learning Networks, by Barathi Subramanian et al.
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networksby Barathi Subramanian, Rathinaraja Jeyaraj, Rakhmonov…
Summary of Feed-forward Neural Networks As a Mixed-integer Program, by Navid Aftabi and Nima Moradi and Fatemeh Mahroo
Feed-Forward Neural Networks as a Mixed-Integer Programby Navid Aftabi, Nima Moradi, Fatemeh MahrooFirst submitted to…
Summary of Learn to Be Efficient: Build Structured Sparsity in Large Language Models, by Haizhong Zheng et al.
Learn To be Efficient: Build Structured Sparsity in Large Language Modelsby Haizhong Zheng, Xiaoyan Bai,…
Summary of Loss Landscape Of Shallow Relu-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding, by Frank Zhengqing Wu et al.
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embeddingby Frank…
Summary of Fixed Width Treelike Neural Networks Capacity Analysis — Generic Activations, by Mihailo Stojnic
Fixed width treelike neural networks capacity analysis – generic activationsby Mihailo StojnicFirst submitted to arxiv…
Summary of Linearizing Models For Efficient Yet Robust Private Inference, by Sreetama Sarkar et al.
Linearizing Models for Efficient yet Robust Private Inferenceby Sreetama Sarkar, Souvik Kundu, Peter A. BeerelFirst…
Summary of Analyzing the Neural Tangent Kernel Of Periodically Activated Coordinate Networks, by Hemanth Saratchandran et al.
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networksby Hemanth Saratchandran, Shin-Fang Chng, Simon…
Summary of Convex Relaxations Of Relu Neural Networks Approximate Global Optima in Polynomial Time, by Sungyoon Kim et al.
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Timeby Sungyoon Kim, Mert…