Summary of Gaussian Derivative Change-point Detection For Early Warnings Of Industrial System Failures, by Hao Zhao et al.
Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failuresby Hao Zhao, Rong PanFirst…
Summary of Are Large-language Models Graph Algorithmic Reasoners?, by Alexander K Taylor et al.
Are Large-Language Models Graph Algorithmic Reasoners?by Alexander K Taylor, Anthony Cuturrufo, Vishal Yathish, Mingyu Derek…
Summary of Feature Responsiveness Scores: Model-agnostic Explanations For Recourse, by Seung Hyun Cheon et al.
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourseby Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler,…
Summary of Hypergraph-based Multi-scale Spatio-temporal Graph Convolution Network For Time-series Anomaly Detection, by Hongyi Xu
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detectionby Hongyi XuFirst submitted to arxiv…
Summary of Meta-learning Adaptable Foundation Models, by Jacob L. Block et al.
Meta-Learning Adaptable Foundation Modelsby Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay ShakkottaiFirst…
Summary of Lipkernel: Lipschitz-bounded Convolutional Neural Networks Via Dissipative Layers, by Patricia Pauli et al.
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layersby Patricia Pauli, Ruigang Wang, Ian Manchester, Frank…
Summary of Batch, Match, and Patch: Low-rank Approximations For Score-based Variational Inference, by Chirag Modi et al.
Batch, match, and patch: low-rank approximations for score-based variational inferenceby Chirag Modi, Diana Cai, Lawrence…
Summary of Fourier Head: Helping Large Language Models Learn Complex Probability Distributions, by Nate Gillman et al.
Fourier Head: Helping Large Language Models Learn Complex Probability Distributionsby Nate Gillman, Daksh Aggarwal, Michael…
Summary of Llms Are Highly-constrained Biophysical Sequence Optimizers, by Angelica Chen et al.
LLMs are Highly-Constrained Biophysical Sequence Optimizersby Angelica Chen, Samuel D. Stanton, Robert G. Alberstein, Andrew…
Summary of Flow-dpo: Improving Llm Mathematical Reasoning Through Online Multi-agent Learning, by Yihe Deng et al.
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learningby Yihe Deng, Paul MineiroFirst submitted to…