N. Muralidhar

发表

RAD: Rapid Automobile Data Analytics Framework for Structured Data

Naren Ramakrishnan, N. Self, B. Mayer, 2020 .

Recommending Temporally Relevant News Content Using Implicit Feedback Data: A Tag-Based Approach

Nikhil Muralidhar, N. Muralidhar, 2016 .

illiad

Naren Ramakrishnan, Ratnesh K. Sharma, N. Self, 2018, ACM Transactions on Intelligent Systems and Technology.

illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems

Naren Ramakrishnan, Ratnesh K. Sharma, N. Self, 2018, ACM Trans. Intell. Syst. Technol..

Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback

Naren Ramakrishnan, N. Muralidhar, Tim O'Shea, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic

Naren Ramakrishnan, N. Muralidhar, Mandar Sharma, 2022, ArXiv.

Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena Under Data Paucity

N. Muralidhar, 2022 .

Physics-Guided Deep Learning for Drag Force Prediction in Dense Fluid-Particulate Systems

Nikhil Muralidhar, Anuj Karpatne, Naren Ramakrishnan, 2020, Big Data.

PhyNet: Physics Guided Neural Networks for Particle Drag Force Prediction in Assembly

Nikhil Muralidhar, Anuj Karpatne, Danesh K. Tafti, 2020, SDM.

Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids pdf

Nikhil Muralidhar, Anuj Karpatne, Long He, 2019, ArXiv.

DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems

Nikhil Muralidhar, Naren Ramakrishnan, Sathappan Muthiah, 2019, IJCAI.

Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency

Naren Ramakrishnan, N. Muralidhar, Mandar Sharma, 2023, ACL.

Contrastive Graph Convolutional Networks for Hardware Trojan Detection in Third Party IP Cores

Ryan M. Gerdes, Nathanael R. Weidler, Naren Ramakrishnan, 2021, 2021 IEEE International Symposium on Hardware Oriented Security and Trust (HOST).

Incorporating Prior Domain Knowledge into Deep Neural Networks

Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Using AntiPatterns to avoid MLOps Mistakes pdf

Nikhil Muralidhar, Naren Ramakrishnan, Patrick Butler, 2021, ArXiv.

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19

Nikhil Muralidhar, Naren Ramakrishnan, B. Aditya Prakash, 2020, AAAI.

Multivariate Long-Term State Forecasting in Cyber-Physical Systems: A Sequence to Sequence Approach

Nikhil Muralidhar, Naren Ramakrishnan, Ratnesh Sharma, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Comparison of reduced order models based on dynamic mode decomposition and deep learning for predicting chaotic flow in a random arrangement of cylinders

D. Tafti, N. Muralidhar, N. Raj, 2023, Physics of Fluids.

Detection of False Data Injection Attacks in Cyber-Physical Systems using Dynamic Invariants

Nikhil Muralidhar, Ratnesh Sharma, Chenrui Jin, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Efficient Generative Wireless Anomaly Detection for Next Generation Networks

Naren Ramakrishnan, N. Muralidhar, Tim O'Shea, 2022, MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM).

illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems

Chen Wang, Nikhil Muralidhar, Naren Ramakrishnan, 2018, ACM Trans. Intell. Syst. Technol..

PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields

A. Karpatne, Naren Ramakrishnan, D. Tafti, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning

R. Kannan, S. Allu, Anika Tabassum, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems

N. Muralidhar, Shengzhe Xu, C. Thomas, 2024, ArXiv.