Seshu Tirupathi

According to our database, Seshu Tirupathi authored at least 23 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models.

Seshu Tirupathi, Dhaval Vinodbhai Salwala, Elizabeth Daly, Inge Vejsbjerg

CoRR, July, 2025

Power Utilization in Open RAN: Key Findings From a USA Testbed.

Saish Urumkar, Byrav Ramamurthy, Seshu Tirupathi, Sachin Sharma

IEEE Commun. Lett., June, 2025

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources.

Frank Bagehorn, Kristina Brimijoin, Elizabeth M. Daly, Jessica He, Michael Hind, Luis Garcés-Erice, Christopher Giblin, Ioana Giurgiu, Jacquelyn Martino, Rahul Nair, David Piorkowski, Ambrish Rawat, John T. Richards, Sean Rooney, Dhaval Salwala, Seshu Tirupathi, Peter Urbanetz, Kush R. Varshney, Inge Vejsbjerg, Mira L. Wolf-Bauwens

CoRR, March, 2025

The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models.

Jonas Brusokas, Seshu Tirupathi, Dalin Zhang, Torben Bach Pedersen

Trans. Mach. Learn. Res., 2025

Selective-HeatFlex: Selective Forecasting of Heat Pump Flexibility using Model Confidence.

Jonas Brusokas, Fabio Lilliu, Seshu Tirupathi, Torben Bach Pedersen

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

Usage Governance Advisor: From Intent to AI Governance.

Elizabeth M. Daly, Seshu Tirupathi, Sean Rooney, Inge Vejsbjerg, Dhaval Salwala, Christopher Giblin, Frank Bagehorn, Luis Garcés-Erice, Peter Urbanetz, Mira L. Wolf-Bauwens

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Usage Governance Advisor: from Intent to AI Governance.

Elizabeth M. Daly, Sean Rooney, Seshu Tirupathi, Luis Garcés-Erice, Inge Vejsbjerg, Frank Bagehorn, Dhaval Salwala, Christopher Giblin, Mira L. Wolf-Bauwens, Ioana Giurgiu, Michael Hind, Peter Urbanetz

CoRR, 2024

Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems.

Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac, Joao F. Santos, Johann Márquez-Barja, Christos Tranoris, Spyros G. Denazis, Thomas Kyriakakis, Panagiotis Karafotis, Luiz A. DaSilva, Shashi Raj Pandey, Junya Shiraishi, Petar Popovski, Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Holger Claussen, Jinfeng Du, Gil Zussman, Tingjun Chen, Yiran Chen, Seshu Tirupathi, Ivan Seskar, Daniel C. Kilper

CoRR, 2024

Domain Adaptation for Time series Transformers using One-step fine-tuning.

Subina Khanal, Seshu Tirupathi, Giulio Zizzo, Ambrish Rawat, Torben Bach Pedersen

CoRR, 2024

Online Learning and Model Pruning Against Concept Drifts in Edge Devices.

Simone Magnani, Seshu Tirupathi, Roberto Doriguzzi Corin, Liubov Nedoshivina, Stefano Braghin, Domenico Siracusa

Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

2023

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium.

Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato

Proceedings of the New Trends in Database and Information Systems, 2023

2022

GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper].

Bijay Neupane, Laurynas Siksnys, Torben Bach Pedersen, Rikke Hagensby Jensen, Muhammad Aftab, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi, Gregor Cerne, Saso Brus, Ioannis Papageorgiou, Gerhard Meindl, Pierre Roduit

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Prequential Model Selection for Time Series Forecasting based on Saliency Maps.

Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, Elizabeth Daly

Proceedings of the IEEE International Conference on Big Data, 2022

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data.

Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muñiz-Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, Manolis Terrovitis

Proceedings of the IEEE International Conference on Big Data, 2022

Distributed Incremental Machine Learning for Big Time Series Data.

Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley M. Gifford, Stuart Siegel, Vijay Ekambaram, Arindam Jati

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Aggregation of nonlinearly enhanced experts with application to electricity load forecasting.

Alessandro Incremona, Giuseppe De Nicolao, Francesco Fusco, Bradley J. Eck, Seshu Tirupathi

Appl. Soft Comput., 2021

Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology.

Jonathan P. Epperlein, Mykhaylo Zayats, Seshu Tirupathi, Sergiy Zhuk, Tigran T. Tchrakian, Pol Mac Aonghusa, Donal F. O'Shea, Niall P. Hardy, Jeffrey Dalli, Ronan A. Cahill

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Scalable Deployment of AI Time-series Models for IoT.

Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi

CoRR, 2020

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures.

Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks.

Francesco Fusco, Bradley Eck, Robert Gormally, Mark Purcell, Seshu Tirupathi

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids.

Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Castor: Contextual IoT Time Series Data and Model Management at Scale.

Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Power systems data fusion based on belief propagation.

Francesco Fusco, Seshu Tirupathi, Robert Gormally

Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017