Towards Creativity Characterization of Generative Models via Group-based Subset Scanning
- Celia Cintas
- Payel Das
- et al.
- 2022
- IJCAI 2022
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Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
- Yair Schiff
- Vijil Chenthamarakshan
- et al.
- 2022
- ICASSP 2022
Active Binary Classification of Random Fields
- Arpan Mukherjee
- Ali Tajer
- et al.
- 2021
- ISIT 2021
Active estimation from multimodal data
- Arpan Mukherjee
- Ali Tajer
- et al.
- 2021
- ICASSP 2021
Toward a neuro-inspired creative decoder
- Payel Das
- Brian Quanz
- et al.
- 2021
- IJCAI 2020
Combinatorial Black-Box Optimization with Expert Advice
- Hamid Dadkhahi
- Karthikeyan Shanmugam
- et al.
- 2020
- KDD 2020
Improving Efficiency in Large-Scale Decentralized Distributed Training
- Wei Zhang
- Xiaodong Cui
- et al.
- 2020
- ICASSP 2020
Interactive Visual Exploration of Latent Space (IVELS) for peptide auto-encoder model selection
- Tom Sercu
- Sebastian Gehrmann
- et al.
- 2019
- DGS@ICLR Workshop 2019
An end-to-end deep learning framework for translating mass spectra to de-novo molecules
- Eleni E. Litsa
- Vijil Chenthamarakshan
- et al.
- 2023
- Communications Chemistry
Prediction of drug metabolites using neural machine translation
- Eleni E. Litsa
- Payel Das
- et al.
- 2020
- Chemical Science