Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Chanakya Ekbote
- Moksh Jain
- et al.
- 2022
- NeurIPS 2022
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39 results for Payel Das
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
- Jenna Bilbrey
- Kristina Herman
- et al.
- 2022
- NeurIPS 2022
Protein Representation Learning by Geometric Structure Pretraining
- Zuobai Zhang
- Minghao Xu
- et al.
- 2022
- ICML 2022
Benchmarking deep generative models for diverse antibody sequence design
- Igor Melnyk
- Payel Das
- et al.
- 2021
- NeurIPS 2021
Grapher: Multi-Stage Knowledge Graph Construction using Pretrained Language Models
- Igor Melnyk
- Pierre Dognin
- et al.
- 2021
- NeurIPS 2021
Sample-efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model
- Samuel Hoffman
- Vijil Vijil
- et al.
- 2021
- NeurIPS 2021
Accurate Multi-Endpoint Molecular Toxicity Predictions in Humans with Contrastive Explanations
- Bhanushee Sharma
- Vijil Vijil
- et al.
- 2021
- NeurIPS 2021
Leveraging Adversarial Reprogramming for Novel Structure-constrained Protein Sequence Design
- Devleena Das
- Inkit Padhi
- et al.
- 2021
- NeurIPS 2021
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models
- Ioana Baldini Soares
- Chhavi Yadav
- et al.
- 2023
- ACL 2023
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- Amit Dhurandhar
- Tejaswini Pedapati
- et al.
- 2024
- ACL 2024