A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries:…
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approachby…
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictionsby Sanjay Kariyappa, Freddy Lécué, Saumitra…
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecastingby Remi Genet, Hugo InzirilloFirst submitted to arxiv…
Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniquesby Shwai He, Daize Dong,…
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretabilityby Kunpeng Xu, Lifei Chen, Shengrui…
Guiding a Diffusion Model with a Bad Version of Itselfby Tero Karras, Miika Aittala, Tuomas…
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasksby Mirza Farhan Bin Tarek, Raphael Poulain,…
Uncertainty of Joint Neural Contextual Banditby Hongbo Guo, Zheqing ZhuFirst submitted to arxiv on: 4…
Mitigate Position Bias in Large Language Models via Scaling a Single Dimensionby Yijiong Yu, Huiqiang…