Aditya Balu - RankMe

89 papers A* 5A 2B 1Misc 1Journal 72Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. Comput. Electron. Agric. Mahsa Khosravi, Matthew E. Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2026	J	`jnl`	Artifact Removal and Image Restoration in AFM:A Structured Mask-Guided Directional Inpainting Approach. CoRR Juntao Zhang, Angona Biswas, Jaydeep Rade, Charchit Shukla, Juan Ren, Anwesha Sarkar, Adarsh Krishnamurthy, Aditya Balu
2026	J	`jnl`	Bidirectional linear recurrent models for sequence-level multisource fusion. Inf. Fusion Qisai Liu, Zhanhong Jiang, Md. Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	J	`jnl`	Accessing the Effect of Phyllotaxy and Planting Density on Light Use Efficiency in Field-Grown Maize using 3D Reconstructions. CoRR Nasla Saleem, Talukder Zaki Jubery, Aditya Balu, Yan Zhou, Yawei Li, Patrick S. Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	AgriField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel. CoRR Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen, Aditya Balu, Talukder Z. Jubery, Yawei Li, Adarsh Krishnamurthy, Patrick S. Schnable, Baskar Ganapathysubramanian
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. CoRR Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Balancing Utility and Privacy: Dynamically Private SGD with Random Projection. Trans. Mach. Learn. Res. Zhanhong Jiang, Md. Zahid Hasan, Nastaran Saadati, Aditya Balu, Chao Liu, Soumik Sarkar
2025	J	`jnl`	Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. CoRR Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar
2025	J	`jnl`	Comparative analysis of different machine vision algorithms for tool wear measurement during machining. J. Intell. Manuf. Mayur A. Makhesana, Prashant J. Bagga, Kaushik M. Patel, Haresh D. Patel, Aditya Balu, Navneet Khanna
2025	J	`jnl`	DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models. CoRR Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Direct Flow Simulations with Implicit Neural Representation of Complex Geometry. CoRR Samundra Karki, Mehdi Shadkhah, Cheng-Hau Yang, Aditya Balu, Guglielmo Scovazzi, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	FUSE: First-Order and Second-Order Unified SynthEsis in Stochastic Optimization. CoRR Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	—	`conf`	FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization. CAI Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar
2025	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. J. Data-centric Mach. Learn. Res. 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
2025	B	`conf`	Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings. IEEE Big Data Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar
2025	J	`jnl`	Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries. CoRR Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy. CoRR Shreyan Ganguly, Angona Biswas, Jaydeep Rade, Md Hasibul Hasan Hasib, Nabila Masud, Nitish Singla, Abhipsa Dash, Ushashi Bhattacharjee, Aditya Balu, Anwesha Sarkar, Adarsh Krishnamurthy, Soumik Sarkar
2025	A	`conf`	Leveraging Vision Language Models for Specialized Agricultural Tasks. WACV 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
2025	J	`jnl`	MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics. J. Data-centric Mach. Learn. Res. Mehdi Shadkhah, Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Ethan Herron, Abhisek Upadhyaya, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian
2025	J	`jnl`	NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. CoRR Kibon Ku, Talukder Z. Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	Procedural Generation of 3D Maize Plant Architecture from LIDAR Data. CoRR Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen, Talukder Z. Jubery, Yawei Li, Lakshmi Attigala, Aditya Balu, Soumik Sarkar, Patrick S. Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	Procedural generation of 3D maize plant architecture from LiDAR data. Comput. Electron. Agric. Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen, Talukder Z. Jubery, Yawei Li, Lakshmi Attigala, Aditya Balu, Soumik Sarkar, Patrick S. Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	—	`conf`	SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications. CVPR Workshops Kibon Ku, Talukder Z. Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2025	J	`jnl`	Towards Large Reasoning Models for Agriculture. CoRR 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, Heidi M. Dornath, Aditya Balu, Adarsh Krishnamurthy, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar
2025	—	`conf`	Trustworthy LLM-Mediated Communication: Evaluating Information Fidelity in LLM as a Communicator (LAAC) Framework in Multiple Application Domains. TPS-ISA Mohammed Musthafa Rafi, Adarsh Krishnamurthy, Aditya Balu
2025	J	`jnl`	Trustworthy LLM-Mediated Communication: Evaluating Information Fidelity in LLM as a Communicator (LAAC) Framework in Multiple Application Domains. CoRR Mohammed Musthafa Rafi, Adarsh Krishnamurthy, Aditya Balu
2025	J	`jnl`	WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification. CoRR 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, Baskar Ganapathysubramanian, Meaghan Anderson, Soumik Sarkar, Arti Singh
2024	J	`jnl`	AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs. CoRR 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
2024	J	`jnl`	AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. CoRR Mahsa Khosravi, Matthew E. Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S. Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar
2024	J	`jnl`	Class-specific Data Augmentation for Plant Stress Classification. CoRR Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian
2024	A*	`conf`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CVPR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models. CoRR Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar
2024	J	`jnl`	Dominating Set Model Aggregation for communication-efficient decentralized deep learning. Neural Networks Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar
2024	J	`jnl`	Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions. CoRR Muhammad Arbab Arshad, Talukder Z. Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy
2024	J	`jnl`	FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries. CoRR 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
2024	J	`jnl`	Latent Diffusion Models for Structural Component Design. Comput. Aided Des. Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2024	J	`jnl`	NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs. Eng. Comput. Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2024	J	`jnl`	Neural PDE Solvers for Irregular Domains. Comput. Aided Des. 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
2024	J	`jnl`	Robust soybean seed yield estimation using high-throughput ground robot videos. CoRR Jiale Feng, Samuel W. Blair, Timilehin Ayanlade, Aditya Balu, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar, Asheesh Kumar Singh
2024	—	`conf`	SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints. CVPR Workshops Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2024	J	`jnl`	STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology. CoRR Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy
2024	A*	`conf`	Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. NeurIPS Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2024	J	`jnl`	Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing. CoRR Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2024	J	`jnl`	THB-Diff: a GPU-accelerated differentiable programming framework for THB-splines. Eng. Comput. Ajith Moola, Aditya Balu, Adarsh Krishnamurthy, Aishwarya Pawar
2023	J	`jnl`	3D reconstruction of plants using probabilistic voxel carving. Comput. Electron. Agric. Jiale Feng, Mojdeh Saadati, Talukder Z. Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S. Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
2023	J	`jnl`	Deep learning-based 3D multigrid topology optimization of manufacturable designs. Eng. Appl. Artif. Intell. Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton M. Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy
2023	J	`jnl`	Latent Diffusion Models for Structural Component Design. CoRR Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2023	J	`jnl`	Out-of-distribution detection algorithms for robust insect classification. CoRR Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
2023	J	`jnl`	SpecXAI - Spectral interpretability of Deep Learning Models. CoRR Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu
2023	J	`jnl`	Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension. CoRR Anushrut Jignasu, Kelly O. Marshall, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
2023	J	`jnl`	ZeroForge: Feedforward Text-to-Shape Without 3D Supervision. CoRR Kelly O. Marshall, Minh Pham, Ameya Joshi, Anushrut Jignasu, Aditya Balu, Adarsh Krishnamurthy, Chinmay Hegde
2022	—	`conf`	Concept Activation Vectors for Generating User-Defined 3D Shapes. CVPR Workshops Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
2022	J	`jnl`	Concept Activation Vectors for Generating User-Defined 3D Shapes. CoRR Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar
2022	—	`conf`	Distributed Online Non-convex Optimization with Composite Regret. Allerton Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	Distributed Online Non-convex Optimization with Composite Regret. CoRR Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models. J. Comput. Inf. Sci. Eng. Aditya Balu, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy
2022	A*	`conf`	MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2022	J	`jnl`	NURBS-Diff: A Differentiable Programming Module for NURBS. Comput. Aided Des. Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy
2022	J	`jnl`	Neural PDE Solvers for Irregular Domains. CoRR Biswajit Khara, Ethan Herron, Zhanhong Jiang, Aditya Balu, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	J	`jnl`	A fast saddle-point dynamical system approach to robust deep learning. Neural Networks Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar
2021	J	`jnl`	Algorithmically-consistent deep learning frameworks for structural topology optimization. Eng. Appl. Artif. Intell. Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
2021	A*	`conf`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar
2021	Misc	`conf`	Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2021	A*	`conf`	Differentiable Spline Approximations. NeurIPS Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Differentiable Spline Approximations. CoRR Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021	J	`jnl`	Distributed Multigrid Neural Solvers on Megavoxel Domains. CoRR Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Chinmay Hegde, Soumik Sarkar, Santi Adavani, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	A	`conf`	Distributed multigrid neural solvers on megavoxel domains. SC Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian
2021	J	`jnl`	Fast inverse design of microstructures via generative invariance networks. Nat. Comput. Sci. Xian Yeow Lee, Joshua R. Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar
2021	J	`jnl`	MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2021	J	`jnl`	Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. Comput. Aided Geom. Des. Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2021	J	`jnl`	NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications. CoRR Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy
2021	J	`jnl`	NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs. CoRR Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
2021	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. Frontiers Artif. Intell. Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2020	J	`jnl`	Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar
2020	J	`jnl`	Physics-consistent deep learning for structural topology optimization. CoRR Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
2019	J	`jnl`	A Saddle-Point Dynamical System Approach for Robust Deep Learning. CoRR Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar
2019	—	`conf`	Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. CVPR Workshops Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2019	J	`jnl`	On Higher-order Moments in Adam. CoRR Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar
2018	J	`jnl`	3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. CoRR Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar
2018	J	`jnl`	Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
2018	J	`jnl`	Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. Comput. Aided Geom. Des. Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2018	J	`jnl`	Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. CoRR Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy
2018	J	`jnl`	On Consensus-Optimality Trade-offs in Collaborative Deep Learning. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
2017	—	`conf`	Collaborative Deep Learning in Fixed Topology Networks. NIPS Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	Collaborative Deep Learning in Fixed Topology Networks. CoRR Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar
2017	J	`jnl`	Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. CoRR Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar
2016	J	`jnl`	A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar