California Institute of Technology（加州理工学院）

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization

Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang

机构 * Georgia Institute of Technology（佐治亚理工学院） ； California Institute of Technology（加州理工学院） ； Harvard University（哈佛大学） 纠错

Guiding Energy-Efficient Locomotion through Impact Mitigation Rewards

Chenghao Wang, Arjun Viswanathan, Eric Sihite, Alireza Ramezani

机构 * Department of Electrical and Computer Engineering, Northeastern University（电气与计算机工程系，东北大学） ； Department of Aerospace Engineering, California Institute of Technology（航空航天工程系，加州理工学院） 纠错

Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots

Théo Bourdais, Pau Batlle, Xianjin Yang, Ricardo Baptista, Nicolas Rouquette, Houman Owhadi

机构 * Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125, USA（计算与数学科学系，加州理工学院，帕萨迪纳，CA 91125，美国） ； Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA（喷气推进实验室，加州理工学院，帕萨迪纳，CA 91109，美国） 纠错

Comments PNAS (2024). This article was formerly titled: Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots. The code for the algorithm introduced in this paper and its application to various examples are available for download (and as as an installable python library/package) at https://github.com/TheoBourdais/ComputationalHypergraphDiscovery

SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance

Suzanne Stathatos, Michael Hobley, Pietro Perona, Markus Marks

机构 * Caltech（加州理工学院） 纠错

Comments Project page: https://suzanne-stathatos.github.io/SAVeD Code page: https://github.com/suzanne-stathatos/SAVeD

Beyond Ethics: How Inclusive Innovation Drives Economic Returns in Medical AI

Balagopal Unnikrishnan, Ariel Guerra Adames, Amin Adibi, Sameer Peesapati, Rafal Kocielnik, Shira Fischer, Hillary Clinton Kasimbazi, Rodrigo Gameiro, Alina Peluso, Chrystinne Oliveira Fernandes, Maximin Lange, Lovedeep Gondara, Leo Anthony Celi

机构 * Department of Computer Science, University of Toronto（多伦多大学计算机科学系） ； Bordeaux Population Health Research Center, University of Bordeaux（波尔多大学人口健康研究中心） ； Faculty of Pharmaceutical Sciences, University of British Columbia（不列颠哥伦比亚大学药学系） ； Synthesize Health, Canada（加拿大Synthesize Health公司） ； Computing and Mathematical Sciences, California Institute of Technology（加州理工学院计算与数学科学系） ； RAND Corporation（RAND公司） ； Department of Radiology and Radiotherapy, Makerere University（Makerere大学放射科与放射治疗系） ； Laboratory for Computational Physiology, Massachusetts Institute of Technology（麻省理工学院计算生理学实验室） ； Department of Bioengineering, Instituto Superior Técnico（葡萄牙 Instituto Superior Técnico 生物工程系） ； Oak Ridge National Laboratory（橡树岭国家实验室） ； Institute of Psychiatry, Psychology & Neuroscience, King’s College London（伦敦国王学院精神病学、心理学与神经科学研究所） ； School of Population and Public Health, University of British Columbia（不列颠哥伦比亚大学流行病学与公共卫生学院） ； Provincial Health Services Authority, British Columbia, Canada（不列颠哥伦比亚省卫生服务局） ； Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center（Beth Israel Deaconess 医疗中心呼吸科、重症医学与睡眠医学科） ； Department of Biostatistics, Harvard T.H. Chan School of Public Health（哈佛大学T.H. 潘菲尔德公共卫生学院生物统计学系） 纠错

Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping

Jonas Buchli, Brendan Tracey, Tomislav Andric, Christopher Wipf, Yu Him Justin Chiu, Matthias Lochbrunner, Craig Donner, Rana X. Adhikari, Jan Harms, Iain Barr, Roland Hafner, Andrea Huber, Abbas Abdolmaleki, Charlie Beattie, Joseph Betzwieser, Serkan Cabi, Jonas Degrave, Yuzhu Dong, Leslie Fritz, Anchal Gupta, Oliver Groth, Sandy Huang, Tamara Norman, Hannah Openshaw, Jameson Rollins, Greg Thornton, George Van Den Driessche, Markus Wulfmeier, Pushmeet Kohli, Martin Riedmiller, LIGO Instrument Team

机构 * Google DeepMind（谷歌DeepMind） ； Gran Sasso Science Institute (GSSI)（格拉斯索科学研究所） ； Laboratori Nazionali del Gran Sasso（格拉斯索国家实验室） ； LIGO Laboratory, Division of Physics, Math, and Astronomy, California Institute of Technology（LIGO实验室，物理、数学和天文学系，加州理工学院） ； LIGO Instrument Team（LIGO仪器团队） 纠错

Comments Re-added a reference that was dropped by mistake in the published paper. Fixed date of experiment in text

Journal ref Science 389, 6764 (2025) 1012-1015

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets

Nicholas LaHaye, Anistasija Easley, Kyongsik Yun, Huikyo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

机构 * Spatial Informatics Group, LLC.（空间信息集团有限公司） ； Jet Propulsion Laboratory, California Institute of Technology（喷气推进实验室，加州理工学院） ； University of California at Berkeley（加州大学伯克利分校） ； Fowler School of Engineering, Chapman University（查普曼大学福勒工程学院） ； Machine Learning and Assistive Technology Lab (MLAT), Chapman University（机器学习与辅助技术实验室（MLAT），查普曼大学） 纠错

Stochastic Process Learning via Operator Flow Matching

Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli

机构 * California Institute of Technology（加利福尼亚技术研究所） ； NVIDIA Corporation（英伟达公司） 纠错