Pessimistic Model Selection for Deep Reinforcement Learning
- Chao-Han Huck Yang
- Zhengling Qi
- et al.
- 2023
- UAI 2023
Pin-Yu Chen
Title
Principal Research Scientist; Chief Scientist, RPI-IBM AI Research Collaboration
Bio
Pin-Yu Chen is a Principal Research Staff Member of the Trusted AI Group, IBM Thomas J. Watson Research Center. He is also the Chief Scientist of RPI-IBM AI Research Collaboration program and a PI of MIT-IBM Watson AI Lab projects.
His recent research focuses on adversarial machine learning of neural networks for robustness and safety, and more broadly, making machine learning trustworthy.
♦ Pin-Yu's research highlights can be found from HERE
♦ Pin-Yu is open to collaboration with highly motivated researchers!
Pin-Yu received his Ph.D. degree in electrical engineering and computer science (EECS) and M.A. degree in Statistics from the University of Michigan Ann Arbor in 2016, under the supervision of Prof. Alfred Hero.
♦ Please refer to his personal webpage for more details - www.pinyuchen.com
Publications
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- Sijia Liu
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
- Yonggui Yan
- Jie Chen
- et al.
- 2023
- ICML 2023
Identification of the Adversary from a Single Adversarial Example
- Minhao Cheng
- Rui Min
- et al.
- 2023
- ICML 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- Yihao Xue
- Siddharth Joshi
- et al.
- 2023
- ICML 2023
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
- Sihui Dai
- Saeed Mahloujifar
- et al.
- 2023
- ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
- Mohammed Nowaz Rabbani Chowdhury
- Shuai Zhang
- et al.
- 2023
- ICML 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems
- Zishen Wan
- Nandhini Chandramoorthy
- et al.
- 2023
- DAC 2023
Patents
- CN
- ZL201980030031.2
- US
- 12061991
- US
- 12020480
- JP
- 7507851
- CN
- ZL202010827714.5
- GB
- 2603391
- CN
- ZL 202010055649.9
- US
- 11880765
- US
- 11853713
- US
- 11853702
Blog posts
Serving customized AI models at scale with LoRA
ResearchKim MartineauWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauWhat is red teaming for generative AI?
ExplainerKim MartineauAccelerating molecular optimization with AI
Deep DivePayel Das, Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, and Pin-Yu Chen11 minute read- See more blog posts
Top collaborators
PD
Payel Das
Principal Research Scientist and Manager, IBM Research AI
KV
Kush Varshney
IBM Fellow
MP
Mark Purcell
Research Manager - Security Research, AI Security & PETs
AR
Ambrish Rawat
Senior Research Scientist, AI Security and Privacy, Master Inventor