Ankit Agrawal

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 16

Top Topics

Class Imbalanced

High Energy Physics

Top Venues

Publications

Vishu Gupta, Kamal Choudhary, Yuwei Mao, Kewei Wang, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. J. Chem. Inf. Model. 63 (7) (2023)
Vishu Gupta, Yuhui Lyu, Derick Suarez, Yuwei Mao, Wei-Keng Liao, Alok N. Choudhary, Wing Kam Liu, Gianluca Cusatis, Ankit Agrawal
Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. IC3 (2023)
Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. IJCNN (2023)
Yuwei Mao, Hui Lin, Christina Xuan Yu, Roger Frye, Darren Beckett, Kevin Anderson, Lars Jacquemetton, Fred Carter, Zhangyuan Gao, Wei-keng Liao, Alok N. Choudhary, Kornel F. Ehmann, Ankit Agrawal
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures. J. Intell. Manuf. 34 (1) (2023)
Zanhua Huang, Kaiyuan Hou, Ankit Agrawal, Alok N. Choudhary, Robert B. Ross, Wei-Keng Liao
I/O in WRF: A Case Study in Modern Parallel I/O Techniques. SC (2023)
Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. IJCNN (2023)
Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. ICMLA (2023)
Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. CCGrid (2023)
Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal
Which Deep Learning Framework Should I Use: A Comparative Study For Deep Regression Modeling. CSCI (2022)
Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang, Justin Liao, Denis T. Keane, Wei-keng Liao, Alok N. Choudhary, Yip-Wah Chung, Michael J. Bedzyk, Ankit Agrawal
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations. CoRR (2022)
Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties. SDM (2022)
Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR (2022)
Yuwei Mao, Vishu Gupta, Kewei Wang, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal
To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification. CSCI (2022)
Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal
Machine Learning for Materials Science (MLMS). KDD (2022)
Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. 110 (2022)
Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID (2022)