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ORCIDRia Das
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2020 – today
- 2023
[j2]Ria Das
, Joshua B. Tenenbaum, Armando Solar-Lezama, Zenna Tavares:
Combining Functional and Automata Synthesis to Discover Causal Reactive Programs. Proc. ACM Program. Lang. 7(POPL): 1628-1658 (2023)- 2022
- [j1]Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley:
Machine learning modeling of family wide enzyme-substrate specificity screens. PLoS Comput. Biol. 18(2) (2022) - 2021
- [c3]Zenna Tavares, James Koppel, Xin Zhang, Ria Das, Armando Solar-Lezama:
A Language for Counterfactual Generative Models. ICML 2021: 10173-10182 - [i1]Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley:
Machine learning modeling of family wide enzyme-substrate specificity screens. CoRR abs/2109.03900 (2021)
2010 – 2019
- 2019
- [c2]Lav Gupta, Tara Salman, Ria Das, Aiman Erbad, Raj Jain, Mohammed Samaka:
HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems. ICNC 2019: 141-147 - 2017
- [c1]Ria Das, Punyasha Chatterjee:
Securing Data Transfer in IoT Employing an Integrated Approach of Cryptography & Steganography. HP3C 2017: 17-22
Coauthor Index
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