Payel Das

13

Papers

3

Total Citations

Papers (13)

Large Language Models can Become Strong Self-Detoxifiers

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

Larimar: Large Language Models with Episodic Memory Control

What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets

Optimizing Mode Connectivity via Neuron Alignment

Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination

Predicting Deep Neural Network Generalization with Perturbation Response Curves

Efficient Equivariant Transfer Learning from Pretrained Models

The Impact of Positional Encoding on Length Generalization in Transformers

Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction