Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations
- Bhanushee Sharma
- Vijil Chenthamarakshan
- et al.
- 2023
- Scientific Reports
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74 results for Payel Das
Large-scale chemical language representations capture molecular structure and properties
- Jerret Ross
- Brian Belgodere
- et al.
- 2022
- Nature Machine Intelligence
Knowledge Graph Generation From Text
- Igor Melnyk
- Pierre Dognin
- et al.
- 2022
- EMNLP 2022
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning
- Celia Cintas
- Payel Das
- et al.
- 2022
- IJCAI 2022
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts
- Payel Das
- Lav R. Varshney
- 2022
- IEEE SPM
Fourier Representations for Black-Box Optimization over Categorical Variables
- Hamid Dadkhahi
- Jesus Rios
- et al.
- 2022
- AAAI 2022
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
- Yair Schiff
- Vijil Chenthamarakshan
- et al.
- 2022
- ICASSP 2022
Active Sampling of Multiple Sources for Sequential Estimation
- Arpan Mukherjee
- Ali Tajer
- et al.
- 2021
- IEEE TSP
Optimizing molecules using efficient queries from property evaluations
- Samuel C. Hoffman
- Vijil Chenthamarakshan
- et al.
- 2021
- Nature Machine Intelligence
Machine learning models in the prediction of drug metabolism: challenges and future perspectives
- Eleni E. Litsa
- Payel Das
- et al.
- 2021
- Expert Opinion on Drug Metabolism and Toxicology