University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校）

Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms

Ali Zeynali, Mahsa Sahebdel, Qingsong Liu, Mohammad Hajiesmaili, Ramesh K. Sitaraman

机构 * University of Massachusetts Amherst（马萨诸塞大学阿姆赫斯特分校） ； Akamai Technologies（Akamai技术公司） 纠错

Comments 10 pages, 14 pages appendix

Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations

Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis

机构 * Division of Applied Mathematics, Brown University（布朗大学应用数学系） ； Department of Mathematics, University of California, Riverside（加州大学河滨分校数学系） ； Department of Mathematics, University of California, Los Angeles（加州大学洛杉矶分校数学系） ； Department of Mathematics and Statistics, University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校数学与统计学系） 纠错

Comments First two authors contributed equally

Robust Generative Learning with Lipschitz-Regularized $α$-Divergences Allows Minimal Assumptions on Target Distributions

Ziyu Chen, Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu

机构 * Department of Mathematics and Statistics, University of Massachusetts Amherst（数学与统计学系，马萨诸塞大学阿默斯特分校） ； School of Mathematics, Georgia Institute of Technology（数学学院，佐治亚理工学院） 纠错

The Tracking Machine Learning challenge : Throughput phase

Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant

机构 * participant participant Paolo Calafiura Steven Farrell Heather Gray University of California, Berkeley CA, USA ； Physics Division, Lawrence Berkeley National Laboratory Jean-Roch Vlimant California Institute of Technology, Pasadena CA, USA Vincenzo Innocente Andreas Salzburger CERN, Geneva, Switzerland Dmitry Emeliyanov Particle Physics Department, Rutherford Appleton Laboratory, Didcot, United Kingdom Sergey Gorbunov Goethe University Frankfurt, Germany Marcel Kunze Heidelberg University, Germany Sabrina Amrouche Tobias Golling Moritz Kiehn D\'epartement de Physique Nucl\'eaire et Corpusculaire, Universit\'e de Gen\`eve, Gen\`eve, Switzerland Edward Moyse Department of Physics, University of Massachusetts, Amherst MA, USA Laurent Basara , Victor Estrade C\'ecile Germain LRI/TAU, Univ. Paris-Sud/INRIA/CNRS, Universit\' e Paris-Saclay, Gif-sur-Yvette, France Isabelle Guyon UPSud/INRIA Universit\'e Paris-Saclay, Orsay, France ； ChaLearn, Berkeley, CA, USA contact: David Rousseau , Yetkin Yilmaz Universit\'e Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France Mikhail Hushchyn Andrey Ustyuzhanin National Research University Higher School of Economics ； Yandex School of Data Analysis, Moscow, Russia Vladimir Vava Gligorov LPNHE, Sorbonne Universit \'e , Paris Diderot Sorbonne Paris Cit \'e , CNRS/IN2P3, Paris, France 纠错

Comments submitted to Computing and Software for Big Science

Journal ref Comput.Softw.Big Sci. 7 (2023) 1, 1

Newton to Einstein: Axiom-Based Discovery via Game Design

Pingchuan Ma, Benjamin Tod Jones, Tsun-Hsuan Wang, Minghao Guo, Michal Piotr Lipiec, Chuang Gan, Wojciech Matusik

机构 * MIT CSAIL（麻省理工学院计算机科学与人工智能实验室） ； UMass Amherst（马萨诸塞大学阿姆赫斯特分校） 纠错

Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text

Avijit Mitra, Zhichao Yang, Emily Druhl, Raelene Goodwin, Hong Yu

机构 * Manning College of Information and Computer Sciences, University of Massachusetts Amherst（马萨诸塞大学阿姆赫斯特分校信息与计算机科学学院） ； U.S. Department of Veterans Affairs（美国退伍军人事务部） ； Department of Medicine, University of Massachusetts Chan Medical School（马萨诸塞大学查恩医学院医学部） ； Miner School of Computer and Information Sciences, University of Massachusetts Lowell（马萨诸塞大学洛厄尔分校米纳尔计算机与信息科学学院） 纠错

Comments Accepted at EMNLP 2025 (main) Github: https://github.com/avipartho/Synth-SBDH