Nikhil Muralidhar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Anomaly Detection

Language Modeling

Prior Domain Knowledge

Top Venues

Publications

Shengzhe Xu, Christo Kurisummoottil Thomas, Omar Hashash, Nikhil Muralidhar, Walid Saad, Naren Ramakrishnan
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems. CoRR (2024)
Mandar Sharma, Rutuja Murlidhar Taware, Pravesh Koirala, Nikhil Muralidhar, Naren Ramakrishnan
Laying Anchors: Semantically Priming Numerals in Language Modeling. CoRR (2024)
Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. CoRR (2024)
Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. AAAI (2024)
Shengzhe Xu, Cho-Ting Lee, Mandar Sharma, Raquib Bin Yousuf, Nikhil Muralidhar, Naren Ramakrishnan
Are LLMs Naturally Good at Synthetic Tabular Data Generation? CoRR (2024)
Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin Yousuf, Naren Ramakrishnan
Information Guided Regularization for Fine-tuning Language Models. CoRR (2024)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. CoRR (2023)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency. ACL (1) (2023)
Abhinav Prasad, Prakash Arunachalam, Ali Motamedi, Ranjeeta Bhattacharya, Beibei Liu, Hays Mccormick, Shengzhe Xu, Nikhil Muralidhar, Naren Ramakrishnan
ML-Assisted Optimization of Securities Lending. ICAIF (2023)
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. ICDM (2022)
Mandar Sharma, Nikhil Muralidhar, Naren Ramakrishnan
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic. CoRR (2022)
Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning. Big Data (2022)
Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. CoRR (2022)
Gopikrishna Rathinavel, Nikhil Muralidhar, Naren Ramakrishnan, Timothy O'Shea
Efficient Generative Wireless Anomaly Detection for Next Generation Networks. MILCOM (2022)
Gopikrishna Rathinavel, Nikhil Muralidhar, Timothy O'Shea, Naren Ramakrishnan
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. CoRR (2022)
Nikhil Muralidhar, Abdullah Zubair, Nathanael R. Weidler, Ryan M. Gerdes, Naren Ramakrishnan
Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores. HOST (2021)
Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields. ICDM (2021)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. AAAI (2021)
Nikhil Muralidhar, Sathappan Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays 'Skip' McCormick, Naren Ramakrishnan
Using AntiPatterns to avoid MLOps Mistakes. CoRR (2021)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems. Big Data 8 (5) (2020)
Nikhil Muralidhar, Anika Tabassum, Liangzhe Chen, Supriya Chinthavali, Naren Ramakrishnan, B. Aditya Prakash
Cut-n-Reveal: Time Series Segmentations with Explanations. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly. SDM (2020)
Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. CoRR (2020)
Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan
DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems. IJCAI (2019)
Nikhil Muralidhar, Sathappan Muthiah, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach. IEEE BigData (2019)
Kiyoshi Nakayama, Nikhil Muralidhar, Chenrui Jin, Ratnesh Sharma
Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants. ICMLA (2019)
Nikhil Muralidhar, Jie Bu, Ze Cao, Long He, Naren Ramakrishnan, Danesh K. Tafti, Anuj Karpatne
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids. CoRR (2019)
Nikhil Muralidhar, Chen Wang, Nathan Self, Marjan Momtazpour, Kiyoshi Nakayama, Ratnesh Sharma, Naren Ramakrishnan
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, Naren Ramakrishnan
Incorporating Prior Domain Knowledge into Deep Neural Networks. IEEE BigData (2018)
Nikhil Muralidhar, Huzefa Rangwala, Eui-Hong Sam Han
Recommending Temporally Relevant News Content from Implicit Feedback Data. ICTAI (2015)