Aditya Balu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Diffusion Model

Spatial Features

Top Venues

Comput. Aided Des.

Eng. Appl. Artif. Intell.

Neural Networks

Publications

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. CoRR (2024)
Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy
Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. CoRR (2024)
Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks 171 (2024)
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Latent Diffusion Models for Structural Component Design. Comput. Aided Des. 171 (2024)
Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian
Class-specific Data Augmentation for Plant Stress Classification. CoRR (2024)
Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 172 (2024)
Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR (2024)
Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K. Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR (2024)
Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
3D reconstruction of plants using probabilistic voxel carving. Comput. Electron. Agric. 213 (2023)
Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR (2023)
Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy
Deep learning-based 3D multigrid topology optimization of manufacturable designs. Eng. Appl. Artif. Intell. 126 (2023)
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Latent Diffusion Models for Structural Component Design. CoRR (2023)
Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension. CoRR (2023)
Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu
SpecXAI - Spectral interpretability of Deep Learning Models. CoRR (2023)
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Out-of-distribution detection algorithms for robust insect classification. CoRR (2023)
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. 146 (2022)
Aditya Balu, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy
HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models. J. Comput. Inf. Sci. Eng. 22 (4) (2022)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. CoRR (2022)
Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
Distributed Online Non-convex Optimization with Composite Regret. Allerton (2022)
Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR (2022)
Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops (2022)
Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Neural PDE Solvers for Irregular Domains. CoRR (2022)
Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar
A fast saddle-point dynamical system approach to robust deep learning. Neural Networks 139 (2021)
Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. NeurIPS (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. CoRR (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
Distributed multigrid neural solvers on megavoxel domains. SC (2021)
Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. 1 (3) (2021)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP (2021)
Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR (2021)
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. 106 (2021)
Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR (2021)
Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. 91 (2021)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4 (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR (2021)
Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR (2021)
Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML (2021)
Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
Physics-consistent deep learning for structural topology optimization. CoRR (2020)
Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR (2020)
Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops (2019)
Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar
A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR (2019)
Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
On Higher-order Moments in Adam. CoRR (2019)
Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. Comput. Aided Geom. Des. 62 (2018)
Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR (2018)
Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR (2018)
Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. CoRR (2018)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR (2018)
Aditya Balu, Thanh V. Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR (2017)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
Collaborative Deep Learning in Fixed Topology Networks. NIPS (2017)
Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. CoRR (2017)
Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
Collaborative Deep Learning in Fixed Topology Networks. CoRR (2017)
Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR (2016)