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Aditya Balu
Aditya Balu
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Title
Cited by
Cited by
Year
Mechanical properties of Austenitic Stainless Steel 304L and 316L at elevated temperatures
RK Desu, HN Krishnamurthy, A Balu, AK Gupta, SK Singh
Journal of Materials Research and Technology 5 (1), 13-20, 2016
2132016
Collaborative deep learning in fixed topology networks
Z Jiang, A Balu, C Hegde, S Sarkar
Advances in Neural Information Processing Systems 30, 2017
1902017
Learning localized features in 3D CAD models for manufacturability analysis of drilled holes
S Ghadai, A Balu, S Sarkar, A Krishnamurthy
Computer Aided Geometric Design 62, 263-275, 2018
732018
Failure and formability studies in warm deep drawing of Ti–6Al–4V alloy
N Kotkunde, AD Deole, AK Gupta, SK Singh, B Aditya
Materials & Design 60, 540-547, 2014
712014
A case study of deep reinforcement learning for engineering design: Application to microfluidic devices for flow sculpting
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
Journal of Mechanical Design 141 (11), 111401, 2019
682019
Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks
AK Gupta, SC Guntuku, RK Desu, A Balu
The International Journal of Advanced Manufacturing Technology 77, 331-339, 2015
682015
A deep learning framework for design and analysis of surgical bioprosthetic heart valves
A Balu, S Nallagonda, F Xu, A Krishnamurthy, MC Hsu, S Sarkar
Scientific reports 9 (1), 18560, 2019
552019
Cross-gradient aggregation for decentralized learning from non-iid data
Y Esfandiari, SY Tan, Z Jiang, A Balu, E Herron, C Hegde, S Sarkar
International conference on machine learning, 3036-3046, 2021
412021
Fast inverse design of microstructures via generative invariance networks
XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ...
Nature Computational Science 1 (3), 229-238, 2021
332021
Support vector regression based flow stress prediction in austenitic stainless steel 304
RK Desu, SC Guntuku, B Aditya, AK Gupta
Procedia Materials Science 6, 368-375, 2014
322014
Algorithmically-consistent deep learning frameworks for structural topology optimization
J Rade, A Balu, E Herron, J Pathak, R Ranade, S Sarkar, A Krishnamurthy
Engineering Applications of Artificial Intelligence 106, 104483, 2021
302021
Flow shape design for microfluidic devices using deep reinforcement learning
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
arXiv preprint arXiv:1811.12444, 2018
232018
Multi-level 3D CNN for learning multi-scale spatial features
S Ghadai, X Yeow Lee, A Balu, S Sarkar, A Krishnamurthy
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
212019
Decentralized deep learning using momentum-accelerated consensus
A Balu, Z Jiang, SY Tan, C Hedge, YM Lee, S Sarkar
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
192021
NURBS-diff: A differentiable programming module for NURBS
AD Prasad, A Balu, H Shah, S Sarkar, C Hegde, A Krishnamurthy
Computer-Aided Design 146, 103199, 2022
162022
A deep 3d convolutional neural network based design for manufacturability framework
A Balu, KG Lore, G Young, A Krishnamurthy, S Sarkar
arXiv preprint arXiv:1612.02141, 2016
162016
An exponential strain dependent Rusinek–Klepaczko model for flow stress prediction in austenitic stainless steel 304 at elevated temperatures
AK Gupta, HN Krishnamurthy, P Puranik, SK Singh, A Balu
Journal of Materials Research and Technology 3 (4), 370-377, 2014
152014
A fast saddle-point dynamical system approach to robust deep learning
Y Esfandiari, A Balu, K Ebrahimi, U Vaidya, N Elia, S Sarkar
Neural Networks 139, 33-44, 2021
14*2021
Multi-resolution 3D convolutional neural networks for object recognition
S Ghadai, X Lee, A Balu, S Sarkar, A Krishnamurthy
arXiv preprint arXiv:1805.12254 4, 2018
142018
A forward-backward approach for visualizing information flow in deep networks
A Balu, TV Nguyen, A Kokate, C Hegde, S Sarkar
arXiv preprint arXiv:1711.06221, 2017
122017
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