Cornell University（康奈尔大学）

In-memory Training on Analog Devices with Limited Conductance States via Multi-tile Residual Learning

Jindan Li, Zhaoxian Wu, Gaowen Liu, Tayfun Gokmen, Tianyi Chen

机构 * Cornell University（康奈尔大学） ； Rensselaer Polytechnic Institute（伦塞拉尔理工学院） ； Cisco Research（思科研究） ； IBM T. J. Watson Research Center（IBM 威尔逊研究中心） 纠错

SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion

Brett Barkley, Preston Culbertson, David Fridovich-Keil

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Department of Computer Science（计算机科学系） ； Cornell University（康奈尔大学） ； Department of Aerospace Engineering and Engineering Mechanics（航空航天工程与工程力学系） 纠错

Morphlux: Transforming Torus Fabrics for Efficient Multi-tenant ML

Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Darius Bunandar, Rachee Singh

机构 * Cornell University（康奈尔大学） 纠错

Pre-training Limited Memory Language Models with Internal and External Knowledge

Linxi Zhao, Sofian Zalouk, Christian K. Belardi, Justin Lovelace, Jin Peng Zhou, Ryan Thomas Noonan, Dongyoung Go, Kilian Q. Weinberger, Yoav Artzi, Jennifer J. Sun

机构 * Department of Computer Science Cornell University（计算机科学系 哥伦比亚大学） 纠错

Comments Code, models, and data available at https://github.com/kilian-group/LMLM

Filter-Guided Diffusion for Controllable Image Generation

Zeqi Gu, Ethan Yang, Abe Davis

机构 * Cornell University（康奈尔大学） 纠错

Comments First two listed authors have equal contribution. The latest version has been accepted to SIGGRAPH 2024