Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

MLD Ph.D. student Aakash Lahoti has been named a 2025-2026 Jump Trading Fellow for his work on building efficient, effective sequence-to-sequence models that can handle very long inputs.

I am currently the chair of CATCS . Please check it out - we welcome any suggestions. I was the PC chair of SODA, 2024 . The accepted papers are here. An alternative talk schedule format is here. A ...

@article{Sawhney:2020:MCG, author = {Sawhney, Rohan and Crane, Keenan}, title = {Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on ...

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...

Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning. Mihir Bhaskar, Jun Tao Luo, Zihan Geng, Asmita Hajra, Junia Howell, Matthew R. Gormley.

I am interested in mobile robot autonomy. One of the first problems encountered when robots operate outside controlled factory and research environments is the need to perceive their surroundings. My ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Thread operations include thread creation, termination, synchronization (joins,blocking), scheduling, data management and process interaction. A thread does not maintain a list of created threads, nor ...

Ryan O'Donnell Professor Theory Group, Computer Science Dept., CMU 7213 Gates Hillman Center Administrative Assistant: Emi Perdan Analysis of Boolean Functions book Free PDF download Buy a copy from ...

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