Peter Pao-Huang

According to our database, Peter Pao-Huang authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Learning over Positive and Negative Edges with Contrastive Message Passing.

Peter Pao-Huang, Charilaos I. Kanatsoulis, Michael Bereket, Jure Leskovec

CoRR, May, 2026

Generative Modeling with Flux Matching.

Peter Pao-Huang, Xiaojie Qiu, Stefano Ermon

CoRR, May, 2026

2025

Geometric Generative Modeling with Noise-Conditioned Graph Networks.

Peter Pao-Huang, Mitchell Black, Xiaojie Qiu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

Semi-Supervised Object Detection in the Open World.

Garvita Allabadi, Ana Lucic, Peter Pao-Huang, Yu-Xiong Wang, Vikram S. Adve

CoRR, 2023

EigenFold: Generative Protein Structure Prediction with Diffusion Models.

Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola

CoRR, 2023

ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization.

Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita V. Adve, Girish Chowdhary, Sasa Misailovic, Vikram S. Adve

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023