Payel Das
13
Papers
3
Total Citations
Papers (13)
Large Language Models can Become Strong Self-Detoxifiers
ICLR 2025
3
citations
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
ICML 2024
0
citations
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
0
citations
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
ICML 2024
0
citations
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
NeurIPS 2018
0
citations
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NeurIPS 2020
0
citations
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
NeurIPS 2020
0
citations
Optimizing Mode Connectivity via Neuron Alignment
NeurIPS 2020
0
citations
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
NeurIPS 2021
0
citations
Predicting Deep Neural Network Generalization with Perturbation Response Curves
NeurIPS 2021
0
citations
Efficient Equivariant Transfer Learning from Pretrained Models
NeurIPS 2023
0
citations
The Impact of Positional Encoding on Length Generalization in Transformers
NeurIPS 2023
0
citations
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
NeurIPS 2023
0
citations