Summary of Realizable Continuous-space Shields For Safe Reinforcement Learning, by Kyungmin Kim et al.
Realizable Continuous-Space Shields for Safe Reinforcement Learningby Kyungmin Kim, Davide Corsi, Andoni Rodriguez, JB Lanier,…
Summary of Inspection and Control Of Self-generated-text Recognition Ability in Llama3-8b-instruct, by Christopher Ackerman and Nina Panickssery
Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instructby Christopher Ackerman, Nina PanicksseryFirst submitted to…
Summary of Fast and Sample Efficient Multi-task Representation Learning in Stochastic Contextual Bandits, by Jiabin Lin et al.
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Banditsby Jiabin Lin, Shana Moothedath,…
Summary of Semi-supervised Fine-tuning Of Vision Foundation Models with Content-style Decomposition, by Mariia Drozdova et al.
Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decompositionby Mariia Drozdova, Vitaliy Kinakh, Yury Belousov,…
Summary of Mmfnet: Multi-scale Frequency Masking Neural Network For Multivariate Time Series Forecasting, by Aitian Ma et al.
MMFNet: Multi-Scale Frequency Masking Neural Network for Multivariate Time Series Forecastingby Aitian Ma, Dongsheng Luo,…
Summary of Posterior Sampling Via Langevin Dynamics Based on Generative Priors, by Vishal Purohit et al.
Posterior sampling via Langevin dynamics based on generative priorsby Vishal Purohit, Matthew Repasky, Jianfeng Lu,…
Summary of Kolmogorov-arnold Network Autoencoders, by Mohammadamin Moradi et al.
Kolmogorov-Arnold Network Autoencodersby Mohammadamin Moradi, Shirin Panahi, Erik Bollt, Ying-Cheng LaiFirst submitted to arxiv on:…
Summary of Deep Generative Modeling For Identification Of Noisy, Non-stationary Dynamical Systems, by Doris Voina and Steven Brunton and J. Nathan Kutz
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systemsby Doris Voina, Steven Brunton, J.…
Summary of Mixlinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1k Parameters, by Aitian Ma et al.
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with 0.1K Parametersby Aitian Ma, Dongsheng Luo,…
Summary of Emma: Efficient Visual Alignment in Multi-modal Llms, by Sara Ghazanfari et al.
EMMA: Efficient Visual Alignment in Multi-Modal LLMsby Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg,…