Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experimentsby Charlotte Rodriguez, Laura…
Low-Budget Simulation-Based Inference with Bayesian Neural Networksby Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth…
How transformers learn structured data: insights from hierarchical filteringby Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato,…
The Mamba in the Llama: Distilling and Accelerating Hybrid Modelsby Junxiong Wang, Daniele Paliotta, Avner…
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imagingby Yuanhao Li, Badong Chen, Zhongxu Hu,…
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methodsby Xinyang Hu, Fengzhuo Zhang, Siyu Chen, Zhuoran…
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Thingsby Ziheng Wang, Pedro Reviriego,…
Estimating Causal Effects from Learned Causal Networksby Anna Raichev, Alexander Ihler, Jin Tian, Rina DechterFirst…
Learning to Move Like Professional Counter-Strike Playersby David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett,…
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal…