Alert button
Picture for Ganesh Sivaraman

Ganesh Sivaraman

Alert button

Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO

Mar 01, 2024
Ganesh Sivaraman, Chris J. Benmore

Figure 1 for Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO
Figure 2 for Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO
Figure 3 for Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO
Figure 4 for Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO
Viaarxiv icon

Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources

Mar 15, 2023
Logan Ward, J. Gregory Pauloski, Valerie Hayot-Sasson, Ryan Chard, Yadu Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian Foster

Figure 1 for Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Figure 2 for Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Figure 3 for Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Figure 4 for Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Viaarxiv icon

Acoustic-to-articulatory Speech Inversion with Multi-task Learning

May 27, 2022
Yashish M. Siriwardena, Ganesh Sivaraman, Carol Espy-Wilson

Figure 1 for Acoustic-to-articulatory Speech Inversion with Multi-task Learning
Figure 2 for Acoustic-to-articulatory Speech Inversion with Multi-task Learning
Figure 3 for Acoustic-to-articulatory Speech Inversion with Multi-task Learning
Figure 4 for Acoustic-to-articulatory Speech Inversion with Multi-task Learning
Viaarxiv icon

Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs

May 25, 2022
Yashish M. Siriwardena, Ahmed Adel Attia, Ganesh Sivaraman, Carol Espy-Wilson

Figure 1 for Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs
Figure 2 for Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs
Figure 3 for Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs
Figure 4 for Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs
Viaarxiv icon

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals

Mar 11, 2022
Rahil Parikh, Nadee Seneviratne, Ganesh Sivaraman, Shihab Shamma, Carol Espy-Wilson

Figure 1 for Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Figure 2 for Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Figure 3 for Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Figure 4 for Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals
Viaarxiv icon

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing

Oct 06, 2021
Logan Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian Foster

Figure 1 for Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Figure 2 for Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Figure 3 for Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Figure 4 for Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing
Viaarxiv icon

Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates

May 07, 2021
Jenna Bilbrey, Logan Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman

Figure 1 for Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
Figure 2 for Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
Figure 3 for Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
Viaarxiv icon

Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19

Feb 09, 2021
Logan Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman

Figure 1 for Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Figure 2 for Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Figure 3 for Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Figure 4 for Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Viaarxiv icon

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide

Sep 09, 2020
Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gabor Csanyi, Alvaro Vazquez-Mayagoitia, Chris J. Benmore

Figure 1 for An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Figure 2 for An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Figure 3 for An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Figure 4 for An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Viaarxiv icon

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide

Oct 22, 2019
Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gabor Csányi, Chris Benmore, Álvaro Vázquez-Mayagoitia

Figure 1 for Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
Figure 2 for Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
Figure 3 for Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
Figure 4 for Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
Viaarxiv icon