Richard Tran

According to our database, Richard Tran authored at least 5 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalization of graph-based active learning relaxation strategies across materials.

Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi

Mach. Learn. Sci. Technol., 2024

2022

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis.

Richard Tran, Janice Lan, Muhammed Shuaibi, Siddharth Goyal, Brandon M. Wood, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary W. Ulissi, C. Lawrence Zitnick

CoRR, 2022

All-Electric Nonassociative Learning in Nickel Oxide.

Sandip Mondal, Zhen Zhang, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate, Kaushik Roy, Shriram Ramanathan

Adv. Intell. Syst., 2022

Reconstructive Training for Real-World Robustness in Image Classification.

David Patrick, Michael Geyer, Richard Tran, Amanda S. Fernandez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2020

SAD: Saliency-based Defenses Against Adversarial Examples.

Richard Tran, David Patrick, Michael Geyer, Amanda S. Fernandez

CoRR, 2020