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2020 – today
- 2024
[j14]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: 103707 (2024)- [j13]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: 103709 (2024) - [j12]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. Eng. Comput. 40(5): 2761-2783 (2024) - [j11]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: 25-39 (2024) - [c11]Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy:
SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops 2024: 5271-5279 - [c10]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. CVPR 2024: 27507-27517 - [i33]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 abs/2402.10344 (2024) - [i32]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 abs/2404.08079 (2024) - [i31]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 abs/2406.13081 (2024) - [i30]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 abs/2407.04180 (2024) - [i29]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 abs/2407.19617 (2024) - [i28]Mahsa Khosravi, Matthew Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar:
AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. CoRR abs/2409.00735 (2024) - [i27]Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian:
FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR abs/2409.18032 (2024) - 2023
- [j10]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: 108248 (2023) - [j9]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: 107033 (2023) - [i26]Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu:
SpecXAI - Spectral interpretability of Deep Learning Models. CoRR abs/2302.09949 (2023) - [i25]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 abs/2305.01823 (2023) - [i24]Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde:
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR abs/2306.08183 (2023) - [i23]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 abs/2309.02465 (2023) - [i22]Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Latent Diffusion Models for Structural Component Design. CoRR abs/2309.11601 (2023) - 2022
- [j8]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: 103199 (2022) - [j7]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) - [c9]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: 9377-9385 - [c8]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. Allerton 2022: 1-8 - [c7]Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar:
Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops 2022: 2992-2999 - [i21]Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar:
Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR abs/2205.02102 (2022) - [i20]Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
Distributed Online Non-convex Optimization with Composite Regret. CoRR abs/2209.10105 (2022) - [i19]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 abs/2211.03241 (2022) - 2021
- [j6]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: 102038 (2021) - [j5]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: 104483 (2021) - [j4]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. 4: 573731 (2021) - [j3]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): 229-238 (2021) - [j2]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: 33-44 (2021) - [c6]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP 2021: 3675-3679 - [c5]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: 3036-3046 - [c4]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. NeurIPS 2021: 20270-20282 - [c3]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: 49 - [i18]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 abs/2103.02051 (2021) - [i17]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 abs/2104.14538 (2021) - [i16]Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy:
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR abs/2104.14547 (2021) - [i15]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. CoRR abs/2110.01532 (2021) - [i14]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 abs/2110.01601 (2021) - [i13]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 abs/2112.02813 (2021) - 2020
- [i12]Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR abs/2010.11166 (2020) - [i11]Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy:
Physics-consistent deep learning for structural topology optimization. CoRR abs/2012.05359 (2020)
2010 – 2019
- 2019
- [c2]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops 2019: 1152-1156 - [i10]Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
On Higher-order Moments in Adam. CoRR abs/1910.06878 (2019) - [i9]Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar:
A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR abs/1910.08623 (2019) - 2018
- [j1]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: 263-275 (2018) - [i8]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR abs/1805.12120 (2018) - [i7]Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy:
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR abs/1805.12254 (2018) - [i6]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 abs/1811.09724 (2018) - [i5]Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar:
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR abs/1811.12444 (2018) - 2017
- [c1]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. NIPS 2017: 5904-5914 - [i4]Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar:
Collaborative Deep Learning in Fixed Topology Networks. CoRR abs/1706.07880 (2017) - [i3]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 abs/1711.04851 (2017) - [i2]Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar:
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR abs/1711.06221 (2017) - 2016
- [i1]Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar:
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR abs/1612.02141 (2016)
Coauthor Index
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last updated on 2024-10-31 21:07 CET by the dblp team
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