Nisha Pillai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Selective Sampling

Combinatorial Optimization

Negative Examples

Language Acquisition

Top Venues

Publications

Nisha Pillai, Bindu Nanduri, Michael J. Rothrock Jr., Zhiqian Chen, Mahalingam Ramkumar
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity. CoRR (2024)
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Towards Interpreting Multi-Objective Feature Associations. CoRR (2024)
Nisha Pillai, Athish Ram Das, Moses Ayoola, Ganga Gireesan, Bindu Nanduri, Mahalingam Ramkumar
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications. ICICT (2024)
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Towards Interpreting Multi-Objective Feature Associations. SysCon (2024)
Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. CoRR (2024)
Ivan A. Fernandez, Subash Neupane, Trisha Chakraborty, Shaswata Mitra, Sudip Mittal, Nisha Pillai, Jingdao Chen, Shahram Rahimi
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics. CoRR (2024)
Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities. IEEE Access 12 (2024)
Nisha Pillai, Athish Ram Das, Moses Ayoola, Ganga Gireesan, Bindu Nanduri, Mahalingam Ramkumar
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications. CoRR (2024)
Nisha Pillai, Bindu Nanduri, Michael J. Rothrock, Zhiqian Chen, Mahalingam Ramkumar
Towards Optimal Microbiome to Inhibit Multidrug Resistance. CIBCB (2023)
Charles Moore, Shaswata Mitra, Nisha Pillai, Marc Moore, Sudip Mittal, Cindy L. Bethel, Jingdao Chen
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments. CoRR (2023)
Prajay Patel, Nisha Pillai, Inimary T. Toby
No-boundary thinking for artificial intelligence in bioinformatics and education. Frontiers Bioinform. 3 (2023)
Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Swayamjit Saha, Sudip Mittal, Jingdao Chen, Nisha Pillai, Shahram Rahimi
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities. CoRR (2023)
Sai Sree Laya Chukkapalli, Nisha Pillai, Sudip Mittal, Anupam Joshi
Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins - A Smart Farming Usecase. ISI (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Neural Variational Learning for Grounded Language Acquisition. RO-MAN (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Neural Variational Learning for Grounded Language Acquisition. CoRR (2021)
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data. FLAIRS Conference (2021)
Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. IEEE BigData (2020)
Nisha Pillai, Edward Raff, Francis Ferraro, Cynthia Matuszek
Sampling Approach Matters: Active Learning for Robotic Language Acquisition. CoRR (2020)
Caroline Kery, Nisha Pillai, Cynthia Matuszek, Francis Ferraro
Building Language-Agnostic Grounded Language Learning Systems. RO-MAN (2019)
Nisha Pillai, Cynthia Matuszek
Unsupervised Selection of Negative Examples for Grounded Language Learning. AAAI (2018)