Summary of Taylor-sensus Network: Embracing Noise to Enlighten Uncertainty For Scientific Data, by Guangxuan Song et al.
Taylor-Sensus Network: Embracing Noise to Enlighten Uncertainty for Scientific Databy Guangxuan Song, Dongmei Fu, Zhongwei…
Summary of Control+shift: Generating Controllable Distribution Shifts, by Roy Friedman and Rhea Chowers
Control+Shift: Generating Controllable Distribution Shiftsby Roy Friedman, Rhea ChowersFirst submitted to arxiv on: 12 Sep…
Summary of What Is the Relationship Between Tensor Factorizations and Circuits (and How Can We Exploit It)?, by Lorenzo Loconte et al.
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?by…
Summary of Automated Discovery Of Pairwise Interactions From Unstructured Data, by Zuheng (david) Xu et al.
Automated Discovery of Pairwise Interactions from Unstructured Databy Zuheng, Moksh Jain, Ali Denton, Shawn Whitfield,…
Summary of Token Turing Machines Are Efficient Vision Models, by Purvish Jajal et al.
Token Turing Machines are Efficient Vision Modelsby Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou,…
Summary of The Role Of Deep Learning Regularizations on Actors in Offline Rl, by Denis Tarasov et al.
The Role of Deep Learning Regularizations on Actors in Offline RLby Denis Tarasov, Anja Surina,…
Summary of Ensemble Methods For Sequence Classification with Hidden Markov Models, by Maxime Kawawa-beaudan et al.
Ensemble Methods for Sequence Classification with Hidden Markov Modelsby Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande,…
Summary of Understanding Foundation Models: Are We Back in 1924?, by Alan F. Smeaton
Understanding Foundation Models: Are We Back in 1924?by Alan F. SmeatonFirst submitted to arxiv on:…
Summary of Weather-informed Probabilistic Forecasting and Scenario Generation in Power Systems, by Hanyu Zhang et al.
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systemsby Hanyu Zhang, Reza Zandehshahvar, Mathieu Tanneau,…
Summary of Can We Count on Llms? the Fixed-effect Fallacy and Claims Of Gpt-4 Capabilities, by Thomas Ball et al.
Can We Count on LLMs? The Fixed-Effect Fallacy and Claims of GPT-4 Capabilitiesby Thomas Ball,…