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Jayaraman J. Thiagarajan

Lawrence Livermore National Laboratory, Livermore, CA

Improving Diversity with Adversarially Learned Transformations for Domain Generalization



Tejas Gokhale , Rushil Anirudh , Jayaraman J. Thiagarajan , Bhavya Kailkhura , Chitta Baral , Yezhou Yang

* Code for ALT is available at https://github.com/tejas-gokhale/ALT 

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Improving Multi-Domain Generalization through Domain Re-labeling



Kowshik Thopalli , Sameeksha Katoch , Andreas Spanias , Pavan Turaga , Jayaraman J. Thiagarajan


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Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion



Ankita Shukla , Rushil Anirudh , Eugene Kur , Jayaraman J. Thiagarajan , Peer-Timo Bremer , Brian K. Spears , Tammy Ma , Pavan Turaga

* 5 pages, 4 figures, Fourth Workshop on Machine Learning and the Physical Sciences, NeurIPS 2021 

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MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation



Alexandros Karargyris , Renato Umeton , Micah J. Sheller , Alejandro Aristizabal , Johnu George , Srini Bala , Daniel J. Beutel , Victor Bittorf , Akshay Chaudhari , Alexander Chowdhury , Cody Coleman , Bala Desinghu , Gregory Diamos , Debo Dutta , Diane Feddema , Grigori Fursin , Junyi Guo , Xinyuan Huang , David Kanter , Satyananda Kashyap , Nicholas Lane , Indranil Mallick , Pietro Mascagni , Virendra Mehta , Vivek Natarajan , Nikola Nikolov , Nicolas Padoy , Gennady Pekhimenko , Vijay Janapa Reddi , G Anthony Reina , Pablo Ribalta , Jacob Rosenthal , Abhishek Singh , Jayaraman J. Thiagarajan , Anna Wuest , Maria Xenochristou , Daguang Xu , Poonam Yadav , Michael Rosenthal , Massimo Loda , Jason M. Johnson , Peter Mattson


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$Ξ”$-UQ: Accurate Uncertainty Quantification via Anchor Marginalization



Rushil Anirudh , Jayaraman J. Thiagarajan


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Designing Counterfactual Generators using Deep Model Inversion



Jayaraman J. Thiagarajan , Vivek Narayanaswamy , Deepta Rajan , Jason Liang , Akshay Chaudhari , Andreas Spanias

* Neurips 2021 

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Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data



Bogdan Kustowski , Jim A. Gaffney , Brian K. Spears , Gemma J. Anderson , Rushil Anirudh , Peer-Timo Bremer , Jayaraman J. Thiagarajan

* 13 pages, 12 figures 

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On the Design of Deep Priors for Unsupervised Audio Restoration



Vivek Sivaraman Narayanaswamy , Jayaraman J. Thiagarajan , Andreas Spanias


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Loss Estimators Improve Model Generalization



Vivek Narayanaswamy , Jayaraman J. Thiagarajan , Deepta Rajan , Andreas Spanias


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