A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. - Aditya Balu; Kin Gwn Lore; Gavin Young; Adarsh Krishnamurthy; Soumik Sarkar (CoRR, 2016)

Collaborative Deep Learning in Fixed Topology Networks. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (NIPS, 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)

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 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)

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (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)

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. - Xian Yeow Lee; Aditya Balu; Daniel Stoecklein; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 2018)

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CVPR Workshops, 2019)

On Higher-order Moments in Adam. - Zhanhong Jiang; Aditya Balu; Sin Yong Tan; Young M. Lee; Chinmay Hegde; Soumik Sarkar (CoRR, 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)

Physics-consistent deep learning for structural topology optimization. - Jaydeep Rade; Aditya Balu; Ethan Herron; Jay Pathak; Rishikesh Ranade; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2020)

Decentralized Deep Learning Using Momentum-Accelerated Consensus. - Aditya Balu; Zhanhong Jiang; Sin Yong Tan; Chinmay Hegde; Young M. Lee; Soumik Sarkar (ICASSP, 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 (ICML, 2021)

Differentiable Spline Approximations. - Minsu Cho; Aditya Balu; Ameya Joshi; Anjana Deva Prasad; Biswajit Khara; Soumik Sarkar; Baskar Ganapathysubramanian; Adarsh Krishnamurthy; Chinmay Hegde (NeurIPS, 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 (SC, 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)

NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. - Anjana Deva Prasad; Aditya Balu; Harshil Shah; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 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)

On Consensus-Optimality Trade-offs in Collaborative Deep Learning. - Zhanhong Jiang; Aditya Balu; Chinmay Hegde; Soumik Sarkar (Frontiers Artif. Intell., 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)

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)

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 (AAAI, 2022)

Distributed Online Non-convex Optimization with Composite Regret. - Zhanhong Jiang; Aditya Balu; Xian Yeow Lee; Young M. Lee; Chinmay Hegde; Soumik Sarkar (Allerton, 2022)

Concept Activation Vectors for Generating User-Defined 3D Shapes. - Stefan Druc; Aditya Balu; Peter Wooldridge; Adarsh Krishnamurthy; Soumik Sarkar (CVPR Workshops, 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)

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)

HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models. - Aditya Balu; Sambit Ghadai; Onur Rauf Bingol; Adarsh Krishnamurthy (J. Comput. Inf. Sci. Eng., 2022)

SpecXAI - Spectral interpretability of Deep Learning Models. - Stefan Druc; Peter Wooldridge; Adarsh Krishnamurthy; Soumik Sarkar; Aditya Balu (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)

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. - Kelly O. Marshall; Minh Pham 005; Ameya Joshi; Anushrut Jignasu; Aditya Balu; Adarsh Krishnamurthy; Chinmay Hegde (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)

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., 2023)

Deep learning-based 3D multigrid topology optimization of manufacturable designs. - Jaydeep Rade; Anushrut Jignasu; Ethan Herron; Ashton M. Corpuz; Baskar Ganapathysubramanian; Soumik Sarkar; Aditya Balu; Adarsh Krishnamurthy (Eng. Appl. Artif. Intell., 2023)

SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. - Anushrut Jignasu; Aditya Balu; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Adarsh Krishnamurthy (CVPR Workshops, 2024)

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. - Nastaran Saadati; Minh Pham 005; Nasla Saleem; Joshua R. Waite; Aditya Balu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (CVPR, 2024)

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. - Anushrut Jignasu; Kelly O. Marshall; Ankush Kumar Mishra; Lucas Nerone Rillo; Baskar Ganapathysubramanian; Aditya Balu; Chinmay Hegde; Adarsh Krishnamurthy (NeurIPS, 2024)

Latent Diffusion Models for Structural Component Design. - Ethan Herron; Jaydeep Rade; Anushrut Jignasu; Baskar Ganapathysubramanian; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (Comput. Aided Des., 2024)

Neural PDE Solvers for Irregular Domains. - 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 (Comput. Aided Des., 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)

Class-specific Data Augmentation for Plant Stress Classification. - Nasla Saleem; Aditya Balu; Talukder Zaki Jubery; Arti Singh; Asheesh K. Singh; Soumik Sarkar; Baskar Ganapathysubramanian (CoRR, 2024)

AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. - 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 (CoRR, 2024)

AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. - 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 (CoRR, 2024)

FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. - 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; et al. (CoRR, 2024)

Robust soybean seed yield estimation using high-throughput ground robot videos. - Jiale Feng; Samuel W. Blair; Timilehin Ayanlade; Aditya Balu; Baskar Ganapathysubramanian; Arti Singh; Soumik Sarkar; Asheesh Kumar Singh (CoRR, 2024)

STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. - Anushrut Jignasu; Ethan Herron; Zhanhong Jiang; Soumik Sarkar; Chinmay Hegde; Baskar Ganapathysubramanian; Aditya Balu; Adarsh Krishnamurthy (CoRR, 2024)

Dominating Set Model Aggregation for communication-efficient decentralized deep learning. - Fateme Fotouhi; Aditya Balu; Zhanhong Jiang; Yasaman Esfandiari; Salman Jahani; Soumik Sarkar (Neural Networks, 2024)

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 (Eng. Comput., 2024)

THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines. - Ajith Moola; Aditya Balu; Adarsh Krishnamurthy; Aishwarya Pawar (Eng. Comput., 2024)

SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. - Kibon Ku; Talukder Z. Jubery; Elijah Rodriguez; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CVPR Workshops, 2025)

Leveraging Vision Language Models for Specialized Agricultural Tasks. - 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 (WACV, 2025)

Procedural generation of 3D maize plant architecture from LiDAR data. - Mozhgan Hadadi; Mehdi Saraeian; Jackson Godbersen; Talukder Z. Jubery; Yawei Li; Lakshmi Attigala; Aditya Balu; Soumik Sarkar; Patrick S. Schnable; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (Comput. Electron. Agric., 2025)

Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. - Ali Rabeh; Ethan Herron; Aditya Balu; Soumik Sarkar; Chinmay Hegde; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. - Zhanhong Jiang; Md. Zahid Hasan; Aditya Balu; Joshua R. Waite; Genyi Huang; Soumik Sarkar (CoRR, 2025)

Accessing the Effect of Phyllotaxy and Planting Density on Light Use Efficiency in Field-Grown Maize using 3D Reconstructions. - Nasla Saleem; Talukder Zaki Jubery; Aditya Balu; Yan Zhou; Yawei Li; Patrick S. Schnable; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

AgriField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel. - Elvis Kimara; Mozhgan Hadadi; Jackson Godbersen; Aditya Balu; Talukder Z. Jubery; Yawei Li; Adarsh Krishnamurthy; Patrick S. Schnable; Baskar Ganapathysubramanian (CoRR, 2025)

Direct Flow Simulations with Implicit Neural Representation of Complex Geometry. - Samundra Karki; Mehdi Shadkah; Cheng-Hau Yang; Aditya Balu; Guglielmo Scovazzi; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. - Kibon Ku; Talukder Z. Jubery; Elijah Rodriguez; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (CoRR, 2025)

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. - Qisai Liu; Zhanhong Jiang; Joshua R. Waite; Chao Liu 028; Aditya Balu; Soumik Sarkar (CoRR, 2025)

WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification. - Yanben Shen; Timilehin Ayanlade; Venkata Naresh Boddepalli; Mojdeh Saadati; Ashlyn Rairdin; Zi K. Deng; Muhammad Arbab Arshad; Aditya Balu; Daren S. Mueller; Asheesh K. Singh; Wesley Everman; Nirav C. Merchant; et al. (CoRR, 2025)

Towards Large Reasoning Models for Agriculture. - Hossein Zaremehrjerdi; Shreyan Ganguly; Ashlyn Rairdin; Elizabeth Tranel; Benjamin Feuer; Juan Ignacio Di Salvo; Srikanth Panthulugiri; Hernan Torres Pacin; Victoria Moser; Sarah Jones; Joscif Raigne; Yanben Shen; et al. (CoRR, 2025)

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. - Nastaran Saadati; Zhanhong Jiang; Joshua R. Waite; Shreyan Ganguly; Aditya Balu; Chinmay Hegde; Soumik Sarkar (CoRR, 2025)