Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Samplingby Constantin Waubert…
Efficient Mixture Learning in Black-Box Variational Inferenceby Alexandra Hotti, Oskar Kviman, Ricky Molén, Víctor Elvira,…
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Treesby Sijia Chen, Yibo…
Flexible Parametric Inference for Space-Time Hawkes Processesby Emilia Siviero, Guillaume Staerman, Stephan Clémençon, Thomas MoreauFirst…
FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusionby Li-Wen Chang, Wenlei Bao, Qi…
DecoR: Deconfounding Time Series with Robust Regressionby Felix Schur, Jonas PetersFirst submitted to arxiv on:…
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrievalby Ravisri Valluri, Akash Kumar Mohankumar,…
SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Modelsby James Lowman, Kelly Liu Zheng, Roydon…
CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuningby Ahmet…
Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applicationsby Zhou Zhou, Guohang He, Zheng Zhang,…