Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Databy Hyeontae Jo, Sung…
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networksby Adeyemi D. Adeoye, Philipp Christian Petersen, Alberto BemporadFirst…
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detectionby Qincheng Lu, Sitao Luan, Xiao-Wen ChangFirst…
Inference of Causal Networks using a Topological Thresholdby Filipe Barroso, Diogo Gomes, Gareth J. BaxterFirst…
Graph Coloring Using Heat Diffusionby Vivek ChaudharyFirst submitted to arxiv on: 21 Apr 2024CategoriesMain: Machine…
Towards smaller, faster decoder-only transformers: Architectural variants and their implicationsby Sathya Krishnan Suresh, Shunmugapriya PFirst…
Align Your Steps: Optimizing Sampling Schedules in Diffusion Modelsby Amirmojtaba Sabour, Sanja Fidler, Karsten KreisFirst…
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance at Urban Intersectionsby Dinesh Cyril Selvaraj, Christian Vitale, Tania…
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learningby Hikmat Khan, Nidhal Carla…
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPsby Lili Wu, Ben Evans, Riashat…