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ORCIDSagar 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- [i26]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) - [i25]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation. CoRR abs/2408.07624 (2024) - [i24]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Sreeja Gangasani, Venkataramana Runkana:
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes. CoRR abs/2408.11351 (2024) - [i23]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. CoRR abs/2408.11359 (2024) - [i22]Sakhinana Sagar Srinivas, Venkataramana Runkana:
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design. CoRR abs/2408.11866 (2024) - [i21]Sakhinana Sagar Srinivas, Krishna Sai Sudhir Aripirala, Shivam Gupta, Venkataramana Runkana:
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning. CoRR abs/2408.12409 (2024) - [i20]Sakhinana Sagar Srinivas, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana:
Multi-Knowledge Fusion Network for Time Series Representation Learning. CoRR abs/2408.12423 (2024) - [i19]Sakhinana Sagar Srinivas, Krishna Sai Sudhir Aripirala, Shivam Gupta, Venkataramana Runkana:
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology. CoRR abs/2408.12634 (2024) - [i18]Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana:
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption. CoRR abs/2408.13248 (2024) - [i17]Geethan Sannidhi, Sakhinana Sagar Srinivas, Venkataramana Runkana:
Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting. CoRR abs/2408.13273 (2024) - [i16]Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana:
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models. CoRR abs/2408.13621 (2024) - [i15]Sakhinana Sagar Srinivas, Geethan Sannidhi, Chidaksh Ravuru, Venkataramana Runkana:
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings. CoRR abs/2408.13622 (2024) - [i14]Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana:
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models. CoRR abs/2408.13661 (2024) - [i13]Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana:
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning. CoRR abs/2408.14387 (2024) - [i12]Chidaksh Ravuru, Sakhinana Sagar Srinivas, Venkataramana Runkana:
Agentic Retrieval-Augmented Generation for Time Series Analysis. CoRR abs/2408.14484 (2024) - [i11]Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana:
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving. CoRR abs/2408.14494 (2024) - [i10]Sakhinana Sagar Srinivas, Venkataramana Runkana:
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning. CoRR abs/2408.14964 (2024) - [i9]Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana:
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis. CoRR abs/2408.15305 (2024) - [i8]Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana:
Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection. CoRR abs/2408.15866 (2024) - [i7]Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana:
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering. CoRR abs/2409.00082 (2024) - [i6]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
EMCNet : Graph-Nets for Electron Micrographs Classification. CoRR abs/2409.03767 (2024) - [i5]Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana:
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis. CoRR abs/2409.07463 (2024) - [i4]Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana:
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis. CoRR abs/2409.12244 (2024) - [i3]Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana:
Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis. CoRR abs/2409.19006 (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 2024-10-18 20:28 CEST by the dblp team
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