Summary of Recovering the Pre-fine-tuning Weights Of Generative Models, by Eliahu Horwitz et al.
Recovering the Pre-Fine-Tuning Weights of Generative Modelsby Eliahu Horwitz, Jonathan Kahana, Yedid HoshenFirst submitted to…
Summary of Rewards-in-context: Multi-objective Alignment Of Foundation Models with Dynamic Preference Adjustment, by Rui Yang et al.
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustmentby Rui Yang, Xiaoman Pan, Feng…
Summary of Self-play Fine-tuning Of Diffusion Models For Text-to-image Generation, by Huizhuo Yuan and Zixiang Chen and Kaixuan Ji and Quanquan Gu
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generationby Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan…
Summary of Hierarchical State Space Models For Continuous Sequence-to-sequence Modeling, by Raunaq Bhirangi et al.
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modelingby Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman, Carmel…
Summary of Q-star Meets Scalable Posterior Sampling: Bridging Theory and Practice Via Hyperagent, by Yingru Li et al.
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgentby Yingru Li, Jiawei Xu,…
Summary of Simple, Unified Analysis Of Johnson-lindenstrauss with Applications, by Yingru Li
Simple, unified analysis of Johnson-Lindenstrauss with applicationsby Yingru LiFirst submitted to arxiv on: 10 Feb…
Summary of Parametric Learning Of Time-advancement Operators For Unstable Flame Evolution, by Rixin Yu and Erdzan Hodzic
Parametric Learning of Time-Advancement Operators for Unstable Flame Evolutionby Rixin Yu, Erdzan HodzicFirst submitted to…
Summary of A Dynamical View Of the Question Of Why, by Mehdi Fatemi and Sindhu Gowda
A Dynamical View of the Question of Whyby Mehdi Fatemi, Sindhu GowdaFirst submitted to arxiv…
Summary of A Data-driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations with Associated Prediction Intervals, by Liam J Berrisford et al.
A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated…
Summary of Personalized Federated Learning For Statistical Heterogeneity, by Muhammad Firdaus and Kyung-hyune Rhee
Personalized Federated Learning for Statistical Heterogeneityby Muhammad Firdaus, Kyung-Hyune RheeFirst submitted to arxiv on: 7…