Valentine Anantharaj

According to our database, Valentine Anantharaj authored at least 34 papers between 2004 and 2026.

Collaborative distances:

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

2026

Foundations for FMU Surrogate Model Design in ExaDigiT: Preliminary Analysis of Three IBM POWER9 Cooling Systems.

Yishak Tadele Nigatu, Wesley Brewer, Jonathan McConnell, Valentine G. Anantharaj, Sandro Fiore

Proceedings of the 2nd International Workshop on Systems and Methods for Sustainable Large-Scale AI (GreenSys), 2026

2025

Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings.

Nicola Giuseppe Marchioro, Yannis Velegrakis, Valentine Anantharaj, Ian T. Foster, Sandro Fiore

CoRR, May, 2025

yProv4ML: Effortless provenance tracking for machine learning systems.

Gabriele Padovani, Valentine Anantharaj, Sandro Fiore

SoftwareX, 2025

Climate Data IT: towards a National Data Hub for Climate Science.

Sandro Fiore, Paola Nassisi, Ludovica Sacco, Gabriele Padovani, Fabrizio Antonio, Donatello Elia, Italo Epicoco, Nicola Giuseppe Marchioro, Marco Robol, Konstantinos Zefkilis, Flavio Vella, Carolina Sopranzetti, Andrea Alessandri, Annalisa Cherchi, Franco Catalano, Gianmaria Sannino, Gabriella Scipione, Marco Puccini, Erika Coppola, Ivan Girotto, Marco Reale, Stefano Salon, Antonella Galizia, Marcello Iotti, Paolo Giorgini, Hilary J. Oliver, Valentine Anantharaj, Silvio Gualdi

Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), 2025

Provenance Tracking in Large-Scale Machine Learning Systems.

Gabriele Padovani, Valentine Anantharaj, Sandro Fiore

Proceedings of the Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

Data Readiness for Scientific AI at Scale.

Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral

Proceedings of the Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

Prithvi WxC: Foundation Model for Weather and Climate.

Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, 2024

A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications.

Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research.

Takuya Kurihana, Tyler J. Skluzacek, Rafael Ferreira da Silva, Valentine Anantharaj

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications.

Valentine Anantharaj, Takuya Kurihana, Sajal Dash, Gabriele Padovani, Sandro Fiore

Proceedings of the IGARSS 2024, 2024

2022

An open science exploration of global 1-km simulations of the earth's atmosphere.

Valentine Anantharaj, Samuel Hatfield, Inna Polichtchouk, Nils Wedi, Morgan E. O'Neill, Thomas Papatheodore, Peter Dueben

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC.

Wesley Brewer, Daniel Martínez, Mathew Boyer, Dylan Jude, Andy Wissink, Ben Parsons, Junqi Yin, Valentine Anantharaj

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

2020

Workflow Submit Nodes as a Service on Leadership Class Systems.

George Papadimitriou, Karan Vahi, Jason Kincl, Valentine Anantharaj, Ewa Deelman, Jack C. Wells

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Processing full-scale square kilometre array data on the summit supercomputer.

Ruonan Wang, Rodrigo Tobar, Markus Dolensky, Tao An, Andreas Wicenec, Chen Wu, Fred Dulwich, Norbert Podhorszki, Valentine Anantharaj, Eric Suchyta, Bao-qiang Lao, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 2020

2019

Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries.

Rina Singh, Jeffrey A. Graves, Valentine Anantharaj, Sreenivas R. Sukumar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2016

Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system.

Sandro Fiore, Marcin Plóciennik, Charles M. Doutriaux, Cosimo Palazzo, Jason Boutte, Tomasz Zok, Donatello Elia, Michal Owsiak, Alessandro D'Anca, Z. Shaheen, Riccardo Bruno, Marco Fargetta, Miguel Caballer, Germán Moltó, Ignacio Blanquer, Roberto Barbera, Mário David, Giacinto Donvito, Dean N. Williams, Valentine Anantharaj, Davide Salomoni, Giovanni Aloisio

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Fidelity of Precipitation Extremes in High Resolution Global Climate Simulations.

Salil Mahajan, Katherine J. Evans, Marcia L. Branstetter, Valentine G. Anantharaj, Juliann K. Leifeld

Proceedings of the International Conference on Computational Science, 2015

Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing.

Balakrishna Gokaraju, Shanti Bhushan, Valentine G. Anantharaj, Anish C. Turlapaty, Daniel Adrian Doss

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2012

Enhancement of Satellite Precipitation Estimation via Unsupervised Dimensionality Reduction.

Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos

IEEE Trans. Geosci. Remote. Sens., 2012

On the Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation.

Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos, Shantia Yarahmadian

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

On the Use of the Genetic Algorithm Filter-Based Feature Selection Technique for Satellite Precipitation Estimation.

Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos, Shantia Yarahmadian

IEEE Geosci. Remote. Sens. Lett., 2012

2011

Interpolation of Missing Values in AMSR-E Soil Moisture Data Using Modified SSA.

Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj

IEEE Geosci. Remote. Sens. Lett., 2011

High resolution satellite precipitation estimate using cluster ensemble cloud classification.

Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, James V. Aanstoos

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

Soil Moisture Sensitivity to NRL-Blend High-Resolution Precipitation Products: Analysis of Simulations With Two Land Surface Models.

F. Joseph Turk, Georgy V. Mostovoy, Valentine G. Anantharaj

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010

Precipitation data fusion using vector space transformation and artificial neural networks.

Anish C. Turlapaty, Valentine G. Anantharaj, Nicolas H. Younan, F. Joseph Turk

Pattern Recognit. Lett., 2010

A pattern recognition based approach to consistency analysis of geophysical datasets.

Anish C. Turlapaty, Valentine G. Anantharaj, Nicolas H. Younan

Comput. Geosci., 2010

Interpolation of geophysical data using spatio-temporal (3D) block singular value decomposition.

Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Infrared satellite precipitation estimate using waveletbased cloud classification and radar calibration.

Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, Walter A. Petersen, F. Joseph Turk, James V. Aanstoos

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Optimal wavelet features for an infrared satellite precipitation estimate algorithm.

Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, James V. Aanstoos

Proceedings of the 39th IEEE Applied Imagery Pattern Recognition Workshop, 2010

2009

Precipitation Data Merging using General Linear Regression.

Anish C. Turlapaty, Nicolas H. Younan, Valentine G. Anantharaj

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2006

Impact of Land Use and Land Cover Changes in the Surface Fluxes of an Atmospheric Model.

Valentine G. Anantharaj, Patrick J. Fitzpatrick, Yongzuo Li, Roger L. King, Gueorgui V. Mostovoy

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2004

The cyberinfrastructure and image information mining.

Pushkar S. Pradhan, Roger L. King, Tomasz Haupt, Valentine G. Anantharaj

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Nonparametric detection of cloudy pixels in AVHRR NDVI data.

Valentine G. Anantharaj, Nicolas H. Younan, Roger L. King

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Incorporation of MODIS landcover data to improve land surface parameterization in the COAMPS numerical weather prediction model.

Valentine G. Anantharaj, Patrick J. Fitzpatrick, Roger L. King, Louis Wasson

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004