Aditya Balu

According to our database, Aditya Balu authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions.

Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2024

2023

3D reconstruction of plants using probabilistic voxel carving.

Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

Comput. Electron. Agric., October, 2023

Latent Diffusion Models for Structural Component Design.

Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2023

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension.

Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy

CoRR, 2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision.

Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde

CoRR, 2023

Out-of-distribution detection algorithms for robust insect classification.

Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

CoRR, 2023

SpecXAI - Spectral interpretability of Deep Learning Models.

Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu

CoRR, 2023

2022

HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models.

Aditya Balu, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy

J. Comput. Inf. Sci. Eng., 2022

Neural PDE Solvers for Irregular Domains.

Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2022

NURBS-Diff: A Differentiable Programming Module for NURBS.

Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy

Comput. Aided Des., 2022

Concept Activation Vectors for Generating User-Defined 3D Shapes.

Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Distributed Online Non-convex Optimization with Composite Regret.

Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.

Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A fast saddle-point dynamical system approach to robust deep learning.

Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar

Neural Networks, 2021

Fast inverse design of microstructures via generative invariance networks.

Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

Nat. Comput. Sci., 2021

On Consensus-Optimality Trade-offs in Collaborative Deep Learning.

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Frontiers Artif. Intell., 2021

Algorithmically-consistent deep learning frameworks for structural topology optimization.

Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy

Eng. Appl. Artif. Intell., 2021

NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs.

Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

CoRR, 2021

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications.

Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2021

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Comput. Aided Geom. Des., 2021

Distributed multigrid neural solvers on megavoxel domains.

Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian

Proceedings of the International Conference for High Performance Computing, 2021

Differentiable Spline Approximations.

Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.

Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

Proceedings of the 38th International Conference on Machine Learning, 2021

Decentralized Deep Learning Using Momentum-Accelerated Consensus.

Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Physics-consistent deep learning for structural topology optimization.

Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2020

2019

A Saddle-Point Dynamical System Approach for Robust Deep Learning.

Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar

CoRR, 2019

On Higher-order Moments in Adam.

Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar

CoRR, 2019

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.

Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys.

Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar

CoRR, 2018

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition.

Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

CoRR, 2018

Learning localized features in 3D CAD models for manufacturability analysis of drilled holes.

Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

Comput. Aided Geom. Des., 2018

2017

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.

Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

CoRR, 2017

Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes.

Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

CoRR, 2017

Collaborative Deep Learning in Fixed Topology Networks.

Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework.

Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar

CoRR, 2016