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Sagar Srinivas 0001
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- affiliation: TCS Research, Pune, India
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2020 – today
- 2024
- [c4]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: 234-242 - [i3]Rajat Kumar Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas, Venkataramana Runkana:
PointSAGE: Mesh-independent superresolution approach to fluid flow predictions. CoRR abs/2404.04615 (2024) - 2023
- [c3]Sakhinana Sagar Srinivas, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana:
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technolog. AI4DT&CP@IJCAI 2023: 41-74 - [i2]Rajat Kumar Sarkar, Ritam Majumdar, Vishal Jadhav, Sakhinana Sagar Srinivas, Venkataramana Runkana:
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. CoRR abs/2311.09740 (2023) - 2022
- [c2]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. IEEE Big Data 2022: 1922-1929 - 2021
- [c1]Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. ICMLA 2021: 23-29 - [i1]Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. CoRR abs/2109.07142 (2021)
Coauthor Index
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last updated on 2024-06-04 23:13 CEST by the dblp team
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