Ria Das

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 6

Top Topics

Causal Independence

Network Services

Naive Bayes Models

Hybrid Learning

Top Venues

Proc. ACM Program. Lang.

Publications

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) (2023)
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)
Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley
Machine learning modeling of family wide enzyme-substrate specificity screens. CoRR (2021)
Zenna Tavares, James Koppel, Xin Zhang, Ria Das, Armando Solar-Lezama
A Language for Counterfactual Generative Models. ICML (2021)
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)
Ria Das, Punyasha Chatterjee
Securing Data Transfer in IoT Employing an Integrated Approach of Cryptography & Steganography. HP3C (2017)