Stephan Xie

Stephan Xie

Hi! I’m Stephan, a second-year PhD student in the Machine Learning Department at Carnegie Mellon University advised by Ameet Talwalkar, and supported by the NSF GRFP. I’m broadly interested in topics within multimodality, agents, decision-making, and translational impact of ML.

Previously, I did my undergrad at the University of Pennsylvania School of Engineering and Applied Sciences studying Computer Science and Mathematical Economics. At Penn I was fortunate to work with Aaron Roth on calibration and learning theory, Kevin He on social learning, as well as Yi Xing and Robert Wang at the Xing Lab on computational biology.

Extracurriculars

In my free time in undergrad I danced, choreographed, and filmed for Pan-Asian Dance Troupe, and I am a long-time wushu student and enthusiast. I also compose and play instrumental music (formerly with Penn Chamber), primarily for the piano.

News

Publications

This Time is Different: An Observability Perspective on Time Series Foundation Models
Neural Information Processing Systems (NeurIPS), 2025 · [Blog Post]
Ben Cohen, Emaad Khwaja, Youssef Doubli, Salahidine Lemaachi, Chris Lettieri, Charles Masson, Hugo Miccinilli, Elise Ramé, Qiqi Ren, Afshin Rostamizadeh, Jean Ogier du Terrail, Anna-Monica Toon, Kan Wang, Stephan Xie, Zongzhe Xu, Viktoriya Zhukova, David Asker, Ameet Talwalkar, Othmane Abou-Amal
High-Dimensional Prediction for Sequential Decision Making
International Conference on Machine Learning (ICML), 2025 · [Blog Post]
Oral Presentation
Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie
ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data
Science Advances, 2023
Yuan Gao, Feng Wang, Robert Wang, Eric Kutschera, Yang Xu, Stephan Xie, Yuanyuan Wang, Kathryn E. Kadash-Edmondson, Lan Lin, Yi Xing