Summary of Low-budget Simulation-based Inference with Bayesian Neural Networks, by Arnaud Delaunoy et al.
Low-Budget Simulation-Based Inference with Bayesian Neural Networksby Arnaud Delaunoy, Maxence de la Brassinne Bonardeaux, Siddharth…
Summary of How Transformers Learn Structured Data: Insights From Hierarchical Filtering, by Jerome Garnier-brun et al.
How transformers learn structured data: insights from hierarchical filteringby Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato,…
Summary of Correntropy-based Improper Likelihood Model For Robust Electrophysiological Source Imaging, by Yuanhao Li et al.
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imagingby Yuanhao Li, Badong Chen, Zhongxu Hu,…
Summary of Unveiling the Statistical Foundations Of Chain-of-thought Prompting Methods, by Xinyang Hu et al.
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methodsby Xinyang Hu, Fengzhuo Zhang, Siyu Chen, Zhuoran…
Summary of Adaptive Resolution Inference (ari): Energy-efficient Machine Learning For Internet Of Things, by Ziheng Wang et al.
Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Thingsby Ziheng Wang, Pedro Reviriego,…
Summary of Estimating Causal Effects From Learned Causal Networks, by Anna Raichev et al.
Estimating Causal Effects from Learned Causal Networksby Anna Raichev, Alexander Ihler, Jin Tian, Rina DechterFirst…
Summary of Learning to Move Like Professional Counter-strike Players, by David Durst et al.
Learning to Move Like Professional Counter-Strike Playersby David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett,…
Summary of Advancing Enterprise Spatio-temporal Forecasting Applications: Data Mining Meets Instruction Tuning Of Language Models For Multi-modal Time Series Analysis in Low-resource Settings, by Sagar Srinivas Sakhinana et al.
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal…
Summary of Decentralised Variational Inference Frameworks For Multi-object Tracking on Sensor Networks: Additional Notes, by Qing Li et al.
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notesby Qing Li, Runze…
Summary of Revisiting Dnn Training For Intermittently-powered Energy-harvesting Micro-computers, by Cyan Subhra Mishra et al.
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computersby Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut…