Summary of Error Estimates Between Sgd with Momentum and Underdamped Langevin Diffusion, by Arnaud Guillin (lmbp) et al.
Error estimates between SGD with momentum and underdamped Langevin diffusionby Arnaud Guillin, Yu Wang, Lihu…
Summary of Literature Meets Data: a Synergistic Approach to Hypothesis Generation, by Haokun Liu et al.
Literature Meets Data: A Synergistic Approach to Hypothesis Generationby Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li,…
Summary of Computing Optimal Regularizers For Online Linear Optimization, by Khashayar Gatmiry et al.
Computing Optimal Regularizers for Online Linear Optimizationby Khashayar Gatmiry, Jon Schneider, Stefanie JegelkaFirst submitted to…
Summary of Xlstm-mixer: Multivariate Time Series Forecasting by Mixing Via Scalar Memories, By Maurice Kraus et al.
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memoriesby Maurice Kraus, Felix Divo, Devendra…
Summary of Bayes Without Underfitting: Fully Correlated Deep Learning Posteriors Via Alternating Projections, by Marco Miani et al.
Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projectionsby Marco Miani, Hrittik Roy,…
Summary of Pyramid Vector Quantization For Llms, by Tycho F. A. Van Der Ouderaa et al.
Pyramid Vector Quantization for LLMsby Tycho F. A. van der Ouderaa, Maximilian L. Croci, Agrin…
Summary of Graph Neural Networks For Edge Signals: Orientation Equivariance and Invariance, by Dominik Fuchsgruber et al.
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invarianceby Dominik Fuchsgruber, Tim Poštuvan, Stephan…
Summary of Isimed: a Framework For Self-supervised Learning Using Intrinsic Spatial Information in Medical Images, by Nabil Jabareen et al.
ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Imagesby Nabil Jabareen,…
Summary of Sample-efficient Bayesian Optimisation Using Known Invariances, by Theodore Brown et al.
Sample-efficient Bayesian Optimisation Using Known Invariancesby Theodore Brown, Alexandru Cioba, Ilija BogunovicFirst submitted to arxiv…
Summary of Learning Mathematical Rules with Large Language Models, by Antoine Gorceix et al.
Learning Mathematical Rules with Large Language Modelsby Antoine Gorceix, Bastien Le Chenadec, Ahmad Rammal, Nelson…