Krishnan Raghavan

发表

A Modeling Study of the Exhaust Flow Rate and Temperature Effects on the Particulate Matter Thermal Oxidation Occurring during the Active Regeneration of a Diesel Particulate Filter

John H. Johnson, K. Premchand, Krishnan Raghavan, 2015 .

An Experimental Investigation into the Effect of NO2 and Temperature on the Passive Oxidation and Active Regeneration of Particulate Matter in a Diesel Particulate Filter

John H. Johnson, J. Naber, Krishnan Raghavan, 2018, Emission Control Science and Technology.

AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

R. Maulik, Prasanna Balaprakash, Krishnan Raghavan, 2021, 2022 26th International Conference on Pattern Recognition (ICPR).

Formalizing the Generalization-Forgetting Trade-off in Continual Learning

Prasanna Balaprakash, Krishnan Raghavan, 2021, NeurIPS.

PROGRAMSYNTHESIS FOR SCIENTIFIC COMPUTING

Saman P. Amarasinghe, Swarat Chaudhuri, P. Balaji, 2021 .

Machine-learning-based inversion of nuclear responses

Stefan M. Wild, Prasanna Balaprakash, A. Lovato, 2020, 2010.12703.

Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles

R. Maulik, Krishnan Raghavan, P. Balaprakash, 2023, Physica D: Nonlinear Phenomena.

Optimal Adaptive Control of Partially Uncertain Linear Continuous-Time Systems with State Delay

Vignesh Narayanan, Rohollah Moghadam, S. Jagannathan, 2021, Handbook of Reinforcement Learning and Control.

Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging

T. Peterka, Prasanna Balaprakash, M. Cherukara, 2022, 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S).

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection

E. Deelman, Prasanna Balaprakash, A. Mandal, 2023, ArXiv.

SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs

Tyler H. Chang, Krishnan Raghavan, M. Garg, 2023, 2023 Winter Simulation Conference (WSC).

Classification of events from α-induced reactions in the MUSIC detector via statistical and ML methods

Prasanna Balaprakash, Krishnan Raghavan, H. Jayatissa, 2022, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

A Game Theoretic Approach for Addressing Domain-Shift in Big-Data

Jagannathan Sarangapani, V. A. Samaranayake, Krishnan Raghavan, 2021, IEEE Transactions on Big Data.

Learning to Control using Image Feedback pdf

Vignesh Narayanan, Krishnan Raghavan, Jagannathan Saraangapani, 2021, ArXiv.

Graph neural networks for detecting anomalies in scientific workflows

E. Deelman, Prasanna Balaprakash, A. Mandal, 2023, Int. J. High Perform. Comput. Appl..

Workflow Anomaly Detection with Graph Neural Networks

L. Pottier, E. Deelman, Prasanna Balaprakash, 2022, 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS).

Self-supervised Learning for Anomaly Detection in Computational Workflows

A. Mandal, Hongwei Jin, Krishnan Raghavan, 2023, ArXiv.

Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback pdf

Sarangapani Jagannathan, Vignesh Narayanan, Raghavan Krishnan, 2021, IEEE Transactions on Neural Networks and Learning Systems.