Venkataramana Runkana

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 17

Top Topics

Gaussian Process Regression

Health Monitoring

Top Venues

AAAI Spring Symposia

Publications

Rajat Kumar Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas, Venkataramana Runkana
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions. CoRR (2024)
Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis. AAAI Spring Symposia (2024)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
HyperLoRA for PDEs. CoRR (2023)
Rajat Kumar Sarkar, Ritam Majumdar, Vishal Jadhav, Sakhinana Sagar Srinivas, Venkataramana Runkana
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. CoRR (2023)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR (2023)
Sushant Vale, Sreedhar Reddy, Sivakumar Subramanian, Subhrojyoti Roy Chaudhuri, Sri Harsha Nistala, Anirudh Deodhar, Venkataramana Runkana
A Model-driven Approach for Knowledge-based Engineering of Industrial Digital Twins. MODELS (2023)
Sagar Srinivas Sakhinana, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technolog. AI4DT&CP@IJCAI (2023)
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Subhash Karande, Lovekesh Vig, Venkataramana Runkana
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR (2022)
Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee, Venkataramana Runkana
Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data. CoRR (2022)
Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. Big Data (2022)
Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
Multi Scale Graph Wavenet for Wind Speed Forecasting. IEEE BigData (2021)
Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana
Universal Adversarial Attack on Deep Learning Based Prognostics. CoRR (2021)
Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting. CoRR (2021)
Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. CoRR (2021)
Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana
Universal Adversarial Attack on Deep Learning Based Prognostics. ICMLA (2021)
Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. IJCNN (2020)
Vishnu Swaroopji Masampally, Aditya Pareek, Venkataramana Runkana
Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor. SSCI (2018)
Sushanta Majumder, Pradeepkumar Vasant Natekar, Venkataramana Runkana
Virtual indurator: A tool for simulation of induration of wet iron ore pellets on a moving grate. Comput. Chem. Eng. 33 (6) (2009)