Rattana Pukdee

According to our database, Rattana Pukdee authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Bayesian Neural Networks with Domain Knowledge Priors.

Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter

CoRR, 2024

Spectrally Transformed Kernel Regression.

Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep Ravikumar

CoRR, 2024

2023

Reliable Learning for Test-time Attacks and Distribution Shift.

Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma

CoRR, 2023

Learning with Explanation Constraints.

Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reliable learning in challenging environments.

Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Propagation with Weak Supervision.

Rattana Pukdee, Dylan Sam, Pradeep Kumar Ravikumar, Nina Balcan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games.

Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sharp asymptotics on the compression of two-layer neural networks.

Mohammad Hossein Amani, Simone Bombari, Marco Mondelli, Rattana Pukdee, Stefano Rini

Proceedings of the IEEE Information Theory Workshop, 2022

2021

Improving Transformation Invariance in Contrastive Representation Learning.

Adam Foster, Rattana Pukdee, Tom Rainforth

Proceedings of the 9th International Conference on Learning Representations, 2021