Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
- Yue Cao
- Payel Das
- et al.
- 2021
- ICML 2021
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71 results for Payel Das
Self-Progressing Robust Training
- Minhao Cheng
- Pin-Yu Chen
- et al.
- 2021
- AAAI 2021
Optimizing Mode Connectivity via Neuron Alignment
- N. Joseph Tatro
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
- Mingrui Liu
- Wei Zhang
- et al.
- 2020
- NeurIPS 2020
Learning Implicit Text Generation via Feature Matching
- Inkit Padhi
- Pierre Dognin
- et al.
- 2020
- ACL 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
- Mingrui Liu
- Youssef Mroueh
- et al.
- 2020
- ICLR 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
- Pu Zhao
- Pin-Yu Chen
- et al.
- 2020
- ICLR 2020
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
- Minghao Guo
- Veronika Thost
- et al.
- 2023
- ICML 2023
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
- Igor Melnyk
- Vijil Chenthamarakshan
- et al.
- 2023
- ICML 2023