Baskar Ganapathysubramanian

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 88

Top Venues

CoRR

J. Comput. Phys.

Comput. Aided Des.

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)
Sungu Kim, Kumar Saurabh, Makrand A. Khanwale, Ali Mani, Robbyn K. Anand, Baskar Ganapathysubramanian
Direct numerical simulation of electrokinetic transport phenomena in fluids: Variational multi-scale stabilization and octree-based mesh refinement. J. Comput. Phys. 500 (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)
Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav C. Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh
AIIRA: AI Institute for Resilient Agriculture. AI Mag. 45 (1) (2024)
Ali Rabeh, Makrand A. Khanwale, Jonghyun Lee, Baskar Ganapathysubramanian
Modeling and simulations of high-density two-phase flows using projection-based Cahn-Hilliard Navier-Stokes equations. CoRR (2024)
Biswajit Khara, Robert Dyja, Kumar Saurabh, Anupam Sharma, Baskar Ganapathysubramanian
Solving fluid flow problems in space-time with multiscale stabilization: formulation and examples. CoRR (2024)
Kendrick Tan, Boshun Gao, Cheng-Hau Yang, Emily L. Johnson, Ming-Chen Hsu, Alberto Passalacqua, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
A computational framework for transmission risk assessment of aerosolized particles in classrooms. Eng. Comput. 40 (1) (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)
Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md. Zahid Hasan, Shivani Chiranjeevi, Kelly O. Marshall, Nirmal Baishnab, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Nirav C. Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity. CoRR (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)
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)
Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen, Talukder Z. Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean. CoRR (2024)
Kumar Saurabh, Masado Ishii, Makrand A. Khanwale, Hari Sundar, Baskar Ganapathysubramanian
Scalable adaptive algorithms for next-generation multiphase flow simulations. IPDPS (2023)
Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Claudio Canuto, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes. CoRR (2023)
Biswajit Khara, Kumar Saurabh, Robert Dyja, Anupam Sharma, Baskar Ganapathysubramanian
Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization. CoRR (2023)
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)
Shivani Chiranjeevi, Mojdeh Saadati, Zi K. Deng, Jayanth Koushik, Talukder Z. Jubery, Daren Mueller, Matthew E. O. Neal, Nirav Merchant, Aarti Singh, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian
Deep learning powered real-time identification of insects using citizen science data. 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)
Makrand A. Khanwale, Kumar Saurabh, Masado Ishii, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian
A projection-based, semi-implicit time-stepping approach for the Cahn-Hilliard Navier-Stokes equations on adaptive octree meshes. J. Comput. Phys. 475 (2023)
Eric Heisler, Cheng-Hau Yang, Aadesh Deshmukh, Baskar Ganapathysubramanian, Hari Sundar
Generating Finite Element Codes combining Adaptive Octrees with Complex Geometries. 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)
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)
Dhruv Gamdha, Kumar Saurabh, Baskar Ganapathysubramanian, Adarsh Krishnamurthy
Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing. CoRR (2023)
Sungu Kim, Kumar Saurabh, Makrand A. Khanwale, Ali Mani, Robbyn K. Anand, Baskar Ganapathysubramanian
Direct numerical simulation of electrokinetic transport phenomena: variational multi-scale stabilization and octree-based mesh refinement. CoRR (2023)
Han D. Tran, Milinda Fernando, Kumar Saurabh, Baskar Ganapathysubramanian, Robert M. Kirby, Hari Sundar
A scalable adaptive-matrix SPMV for heterogeneous architectures. IPDPS (2022)
Kumar Saurabh, Peter J. Dudenas, Eliot Gann, Veronica G. Reynolds, Subhrangsu Mukherjee, Daniel Sunday, Tyler B. Martin, Peter A. Beaucage, Michael L. Chabinyc, Dean M. DeLongchamp, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS). CoRR (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CDC (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CoRR (2022)
Balaji Sesha Sarath Pokuri, Alec Lofquist, Chad Risko, Baskar Ganapathysubramanian
Algorithm 1025: PARyOpt: A Software for Parallel Asynchronous Remote Bayesian Optimization. ACM Trans. Math. Softw. 48 (2) (2022)
Makrand A. Khanwale, Kumar Saurabh, Milinda Fernando, Victor M. Calo, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. Comput. Phys. Commun. 280 (2022)
Kumar Saurabh, Masado Ishii, Makrand A. Khanwale, Hari Sundar, Baskar Ganapathysubramanian
Scalable adaptive algorithms for next-generation multiphase simulations. CoRR (2022)
Devyani Jivani, Jaroslaw Zola, Baskar Ganapathysubramanian, Olga Wodo
GraSPI: Extensible software for the graph-based quantification of morphology in organic electronics. SoftwareX 17 (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)
Makrand A. Khanwale, Kumar Saurabh, Masado Ishii, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian
A projection-based, semi-implicit time-stepping approach for the Cahn-Hilliard Navier-Stokes equations on adaptive octree meshes. 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)
Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Scalable adaptive PDE solvers in arbitrary domains. SC (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)
Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Makrand A. Khanwale, Biswajit Khara, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Industrial scale Large Eddy Simulations with adaptive octree meshes using immersogeometric analysis. Comput. Math. Appl. 97 (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)
Kumar Saurabh, Santi Adavani, Kendrick Tan, Masado Ishii, Boshun Gao, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources. CoRR (2021)
Kumar Saurabh, Santi Adavani, Kendrick Tan, Masado Ishii, Boshun Gao, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources. SC (Workshops) (2021)
Kumar Saurabh, Masado Ishii, Milinda Fernando, Boshun Gao, Kendrick Tan, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Scalable adaptive PDE solvers in arbitrary domains. 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)
Jan Thompson, Baskar Ganapathysubramanian, Wei Chen, Michael C. Dorneich, Philip Gassman, Caroline C. Krejci, Matthew Liebman, Ajay Nair, Ulrike Passe, Nicholas Schwab, Kurt Rosentrater, Tiffanie Stone, Yiming Wang, Yuyu Zhou
Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems. Frontiers Big Data 4 (2021)
Sungu Kim, Robbyn K. Anand, Baskar Ganapathysubramanian
Modeling electrochemical systems with weakly imposed Dirichlet boundary conditions. CoRR (2020)
Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning. CoRR (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. CoRR (2020)
Kumar Saurabh, Boshun Gao, Milinda Fernando, Songzhe Xu, Biswajit Khara, Makrand A. Khanwale, Ming-Chen Hsu, Adarsh Krishnamurthy, Hari Sundar, Baskar Ganapathysubramanian
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis. CoRR (2020)
Makrand A. Khanwale, Alec D. Lofquist, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian
Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes. J. Comput. Phys. 419 (2020)
Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications. CoRR (2020)
Ramin Noruzi, Sambit Ghadai, Onur Rauf Bingol, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
NURBS-based microstructure design for organic photovoltaics. Comput. Aided Des. 118 (2020)
Shi Li, Balaji Sesha Sarath Pokuri, Sean M. Ryno, Asare Nkansah, Camron De'vine, Baskar Ganapathysubramanian, Chad M. Risko
Determination of the Free Energies of Mixing of Organic Solutions through a Combined Molecular Dynamics and Bayesian Statistics Approach. J. Chem. Inf. Model. 60 (3) (2020)
Makrand A. Khanwale, Kumar Saurabh, Milinda Fernando, Victor M. Calo, James A. Rossmanith, Hari Sundar, Baskar Ganapathysubramanian
A fully-coupled framework for solving Cahn-Hilliard Navier-Stokes equations: Second-order, energy-stable numerical methods on adaptive octree based meshes. CoRR (2020)
Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping. CoRR (2020)
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI (2020)
Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
How useful is Active Learning for Image-based Plant Phenotyping? CoRR (2020)
Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. MLHPC/AI4S@SC (2020)
Makrand A. Khanwale, Alec D. Lofquist, Hari Sundar, James A. Rossmanith, Baskar Ganapathysubramanian
Simulating two-phase flows with thermodynamically consistent energy stable Cahn-Hilliard Navier-Stokes equations on parallel adaptive octree based meshes. CoRR (2019)
Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Encoding Invariances in Deep Generative Models. CoRR (2019)
Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Based Approach for Estimating After Release Contaminant Distribution in Indoor Environment. ACC (2019)
Masado Ishii, Milinda Fernando, Kumar Saurabh, Biswajit Khara, Baskar Ganapathysubramanian, Hari Sundar
Solving PDEs in space-time: 4D tree-based adaptivity, mesh-free and matrix-free approaches. SC (2019)
Balaji Sesha Sarath Pokuri, Alec Lofquist, Chad M. Risko, Baskar Ganapathysubramanian
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization. CoRR (2018)
Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR (2018)
Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR (2018)
Himanshu Sharma, Umesh Vaidya, Baskar Ganapathysubramanian
A Transfer Operator Methodology for Optimal Sensor Placement Accounting for Uncertainty. CoRR (2018)
Koushik Nagasubramanian, Sarah Jones, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps. CoRR (2018)
Snehal Shete, Srikant Srinivasan, Seyed Vahid Mirnezami, Baskar Ganapathysubramanian, Patrick S. Schnable, Timothy Gonsalves
An automated tassel detection and trait extraction pipeline to support high-throughput field imaging of maize. ICVGIP (2018)
Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Baskar Ganapathysubramanian, Soumik Sarkar
Interpretable deep learning for guided structure-property explorations in photovoltaics. CoRR (2018)
Mahalakshmi Senthilarumugam Veilukandammal, Sree Nilakanta, Baskar Ganapathysubramanian, Vellareddy Anantharam, Anumantha Kanthasamy, Auriel A. Willette
Big Data and Parkinson's Disease: Exploration, Analyses, and Data Challenges. HICSS (2018)
Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya
A Novel Multirobot System for Plant Phenotyping. Robotics 7 (4) (2018)
Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) (2018)
Naihui Zhou, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, Carolyn J. Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W. Kelly, Iddo Friedberg
Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning. PLoS Comput. Biol. 14 (7) (2018)
Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. ACC (2018)
Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
An explainable deep machine vision framework for plant stress phenotyping. Proc. Natl. Acad. Sci. USA 115 (18) (2018)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
A deep learning framework for causal shape transformation. Neural Networks 98 (2018)
Robert Dyja, Baskar Ganapathysubramanian, Kristoffer G. van der Zee
Parallel-In-Space-Time, Adaptive Finite Element Framework for Nonlinear Parabolic Equations. SIAM J. Sci. Comput. 40 (3) (2018)
Zehui Jiang, Chao Liu, Nathan P. Hendricks, Baskar Ganapathysubramanian, Dermot J. Hayes, Soumik Sarkar
Predicting County Level Corn Yields Using Deep Long Short Term Memory Models. CoRR (2018)
Himanshu Sharma, Anthony D. Fontanini, Umesh Vaidya, Baskar Ganapathysubramanian
Transfer Operator Theoretic Framework for Monitoring Building Indoor Environment in Uncertain Operating Conditions. CoRR (2018)
Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar
Interpretable Deep Learning applied to Plant Stress Phenotyping. CoRR (2017)
Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean. CoRR (2017)
David M. Ackerman, Kris T. Delaney, Glenn H. Fredrickson, Baskar Ganapathysubramanian
A finite element approach to self-consistent field theory calculations of multiblock polymers. J. Comput. Phys. 331 (2017)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Deep Action Sequence Learning for Causal Shape Transformation. CoRR (2016)
Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection. CoRR (2016)
Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge. CoRR (2016)
Amal Aboulhassan, Daniel Baum, Olga Wodo, Baskar Ganapathysubramanian, Aram Amassian, Markus Hadwiger
A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials. Comput. Graph. Forum 34 (3) (2015)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS (2015)
Sai Kiranmayee Samudrala, Jaroslaw Zola, Srinivas Aluru, Baskar Ganapathysubramanian
Parallel Framework for Dimensionality Reduction of Large-Scale Datasets. Sci. Program. 2015 (2015)
Javier Diaz Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar
Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems. Comput. Sci. Eng. 16 (4) (2014)
David Busch, Juan Ren, Qingze Zou, Baskar Ganapathysubramanian
Rapid online quantification of tip-sample interaction for high-speed dynamic-mode atomic force microscope imaging. ACC (2011)
Olga Wodo, Baskar Ganapathysubramanian
Computationally efficient solution to the Cahn-Hilliard equation: Adaptive implicit time schemes, mesh sensitivity analysis and the 3D isoperimetric problem. J. Comput. Phys. 230 (15) (2011)
Baskar Ganapathysubramanian, Nicholas Zabaras
A stochastic multiscale framework for modeling flow through random heterogeneous porous media. J. Comput. Phys. 228 (2) (2009)
Umesh Vaidya, Baskar Ganapathysubramanian, Arvind U. Raghunathan
Transfer operator method for control in fluid flows. CDC (2009)
Nicholas Zabaras, Baskar Ganapathysubramanian
A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach. J. Comput. Phys. 227 (9) (2008)
Baskar Ganapathysubramanian, Nicholas Zabaras
A non-linear dimension reduction methodology for generating data-driven stochastic input models. J. Comput. Phys. 227 (13) (2008)
Baskar Ganapathysubramanian, Nicholas Zabaras
Sparse grid collocation schemes for stochastic natural convection problems. J. Comput. Phys. 225 (1) (2007)
Baskar Ganapathysubramanian, Nicholas Zabaras
Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method. J. Comput. Phys. 226 (1) (2007)

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Publication Activity (10 Years)

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Baskar Ganapathysubramanian