Optimizing Mode Connectivity via Neuron Alignment
- N. Joseph Tatro
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
82 results for Payel Das
Reprogramming Language Models for Molecular Representation Learning
- Ria Vinod
- Pin-Yu Chen
- et al.
- 2020
- NeurIPS 2020
Workshop paperCharacterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics
- Yair Schiff
- Payel Das
- et al.
- 2020
- NeurIPS 2020
Workshop paperDualTKB: A Dual Learning Bridge between Text and Knowledge Base
- Pierre Dognin
- Igor Melnyk
- et al.
- 2020
- EMNLP 2020
Conference paperActive learning of deep surrogates for PDEs: application to metasurface design
- Raphaël Pestourie
- Youssef Mroueh
- et al.
- 2020
- npj Computational Materials
PaperCombinatorial Black-Box Optimization with Expert Advice
- Hamid Dadkhahi
- Karthikeyan Shanmugam
- et al.
- 2020
- KDD 2020
Conference paperLearning Implicit Text Generation via Feature Matching
- Inkit Padhi
- Pierre Dognin
- et al.
- 2020
- ACL 2020
Conference paperNanoscale Interplay of Membrane Composition and Amyloid Self-Assembly
- Sneha Menon
- Neelanjana Sengupta
- et al.
- 2020
- Journal of Physical Chemistry B
PaperImproving Efficiency in Large-Scale Decentralized Distributed Training
- Wei Zhang
- Xiaodong Cui
- et al.
- 2020
- ICASSP 2020
Conference paperTowards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
- Mingrui Liu
- Youssef Mroueh
- et al.
- 2020
- ICLR 2020
Conference paper