Summary of On Faster Marginalization with Squared Circuits Via Orthonormalization, by Lorenzo Loconte et al.
On Faster Marginalization with Squared Circuits via Orthonormalizationby Lorenzo Loconte, Antonio VergariFirst submitted to arxiv…
Summary of Rumc: a Rule-based Classifier Inspired by Evolutionary Methods, By Melvin Mokhtari
RUMC: A Rule-based Classifier Inspired by Evolutionary Methodsby Melvin MokhtariFirst submitted to arxiv on: 10…
Summary of Protocol Learning, Decentralized Frontier Risk and the No-off Problem, by Alexander Long
Protocol Learning, Decentralized Frontier Risk and the No-Off Problemby Alexander LongFirst submitted to arxiv on:…
Summary of Score Change Of Variables, by Stephen Robbins
Score Change of Variablesby Stephen RobbinsFirst submitted to arxiv on: 10 Dec 2024CategoriesMain: Machine Learning…
Summary of Low-rank Correction For Quantized Llms, by Meyer Scetbon et al.
Low-Rank Correction for Quantized LLMsby Meyer Scetbon, James HensmanFirst submitted to arxiv on: 10 Dec…
Summary of How Should We Represent History in Interpretable Models Of Clinical Policies?, by Anton Matsson et al.
How Should We Represent History in Interpretable Models of Clinical Policies?by Anton Matsson, Lena Stempfle,…
Summary of Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning, by Can Yaras et al.
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learningby Can Yaras, Siyi Chen, Peng…
Summary of Non-normal Diffusion Models, by Henry Li
Non-Normal Diffusion Modelsby Henry LiFirst submitted to arxiv on: 10 Dec 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Neural Scaling Laws Rooted in the Data Distribution, by Ari Brill
Neural Scaling Laws Rooted in the Data Distributionby Ari BrillFirst submitted to arxiv on: 10…
Summary of Gpt-2 Through the Lens Of Vector Symbolic Architectures, by Johannes Knittel et al.
GPT-2 Through the Lens of Vector Symbolic Architecturesby Johannes Knittel, Tushaar Gangavarapu, Hendrik Strobelt, Hanspeter…