An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problemby Runze Guo,…
Interpreting What Typical Fault Signals Look Like via Prototype-matchingby Qian Chen, Xingjian Dong, Zhike PengFirst…
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edgeby Hasanul Mahmud, Peng…
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxationsby Stefan Balauca, Mark Niklas Müller,…
Transformers Learn Low Sensitivity Functions: Investigations and Implicationsby Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott…
Prediction of Wort Density with LSTM Networkby Derk Rembold, Bernd Stauss, Stefan SchwarzkopfFirst submitted to…
On the Diminishing Returns of Width for Continual Learningby Etash Guha, Vihan LakshmanFirst submitted to…
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Databy Ming Zheng, Yang Yang, Zhi-Hang…
Multi-conditioned Graph Diffusion for Neural Architecture Searchby Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns,…
tLaSDI: Thermodynamics-informed latent space dynamics identificationby Jun Sur Richard Park, Siu Wun Cheung, Youngsoo Choi,…