Richard Tran

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 5

Top Topics

Benchmark Classification Problems

Synthetic Datasets

Image Classification

Learning Process

Top Venues

Mach. Learn. Sci. Technol.

Adv. Intell. Syst.

WACV (Workshops)

Publications

Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi
Generalization of graph-based active learning relaxation strategies across materials. Mach. Learn. Sci. Technol. 5 (2) (2024)
David Patrick, Michael Geyer, Richard Tran, Amanda Fernandez
Reconstructive Training for Real-World Robustness in Image Classification. WACV (Workshops) (2022)
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
All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst. 4 (10) (2022)
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
The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. CoRR (2022)
Richard Tran, David Patrick, Michael Geyer, Amanda Fernandez
SAD: Saliency-based Defenses Against Adversarial Examples. CoRR (2020)