default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVenkataramana Runkana
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c8]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- [i32]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) - [i31]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation. CoRR abs/2408.07624 (2024) - [i30]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) - [i29]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. CoRR abs/2408.11359 (2024) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]Chidaksh Ravuru, Sakhinana Sagar Srinivas, Venkataramana Runkana:
Agentic Retrieval-Augmented Generation for Time Series Analysis. CoRR abs/2408.14484 (2024) - [i17]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) - [i16]Sakhinana Sagar Srinivas, Venkataramana Runkana:
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning. CoRR abs/2408.14964 (2024) - [i15]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) - [i14]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) - [i13]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) - [i12]Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana:
EMCNet : Graph-Nets for Electron Micrographs Classification. CoRR abs/2409.03767 (2024) - [i11]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) - [i10]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) - [i9]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
- [c7]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 - [c6]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: 13-23 - [i8]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR abs/2303.07009 (2023) - [i7]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
HyperLoRA for PDEs. CoRR abs/2308.09290 (2023) - [i6]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
- [c5]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 - [i5]Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee, Venkataramana Runkana:
Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data. CoRR abs/2205.02209 (2022) - [i4]Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR abs/2212.10032 (2022) - 2021
- [c4]Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Multi Scale Graph Wavenet for Wind Speed Forecasting. IEEE BigData 2021: 4047-4053 - [c3]Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. ICMLA 2021: 23-29 - [i3]Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. CoRR abs/2101.05639 (2021) - [i2]Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana:
Universal Adversarial Attack on Deep Learning Based Prognostics. CoRR abs/2109.07142 (2021) - [i1]Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting. CoRR abs/2109.15239 (2021) - 2020
- [c2]Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c1]Vishnu Swaroopji Masampally, Aditya Pareek, Venkataramana Runkana:
Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor. SSCI 2018: 128-135
2000 – 2009
- 2009
- [j1]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): 1141-1152 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 20:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
