Romit Maulik - RankMe

83 papers A* 2A 1B 1Journal 75Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Diffusion Posterior Sampling for Data and Model Fusion of Complex Nonlinear Dynamical Systems. CoRR Dibyajyoti Chakraborty, Hojin Kim, Romit Maulik
2026	J	`jnl`	Binned spectral power loss for improved prediction of chaotic systems. J. Comput. Phys. Dibyajyoti Chakraborty, Arvind T. Mohan, Romit Maulik
2026	J	`jnl`	High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator. CoRR Haiwen Guan, Moein Darman, Dibyajyoti Chakraborty, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2026	J	`jnl`	SC3D: Dynamic and Differentiable Causal Discovery for Temporal and Instantaneous Graphs. CoRR Sourajit Das, Dibyajyoti Chakraborty, Romit Maulik
2025	J	`jnl`	A Weak Penalty Neural ODE for Learning Chaotic Dynamics from Noisy Time Series. CoRR Xuyang Li, John Harlim, Romit Maulik
2025	J	`jnl`	Binned Spectral Power Loss for Improved Prediction of Chaotic Systems. CoRR Dibyajyoti Chakraborty, Arvind T. Mohan, Romit Maulik
2025	J	`jnl`	CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints. CoRR Xin Wang, Juntao Yang, Jeff Adie, Simon See, Kalli Furtado, Chen Chen, Troy Arcomano, Romit Maulik, Gianmarco Mengaldo
2025	J	`jnl`	FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models. CoRR Riddhiman Raut, Romit Maulik, Shivam Barwey
2025	J	`jnl`	LUCIE-3D: A three-dimensional climate emulator for forced responses. CoRR Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2025	J	`jnl`	Leveraging interpolation models and error bounds for verifiable scientific machine learning. J. Comput. Phys. Tyler H. Chang, Andrew Gillette, Romit Maulik
2025	J	`jnl`	Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs. CoRR Mrigank Dhingra, Romit Maulik, Adil Rasheed, Omer San
2025	J	`jnl`	MoWE : A Mixture of Weather Experts. CoRR Dibyajyoti Chakraborty, Romit Maulik, Peter Harrington, Dallas Foster, Mohammad Amin Nabian, Sanjay Choudhry
2025	J	`jnl`	Multimodal Atmospheric Super-Resolution With Deep Generative Models. CoRR Dibyajyoti Chakraborty, Haiwen Guan, Jason Stock, Troy Arcomano, Guido Cervone, Romit Maulik
2025	J	`jnl`	SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning. CoRR Xuyang Li, Romit Maulik
2025	A*	`conf`	Semi-Implicit Neural Ordinary Differential Equations. AAAI Hong Zhang, Ying Liu, Romit Maulik
2025	J	`jnl`	Towards Interpretable Deep Learning and Analysis of Dynamical Systems via the Discrete Empirical Interpolation Method. CoRR Hojin Kim, Romit Maulik
2024	J	`jnl`	A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering. CoRR Zachariah Malik, Romit Maulik
2024	J	`jnl`	A note on the error analysis of data-driven closure models for large eddy simulations of turbulence. CoRR Dibyajyoti Chakraborty, Shivam Barwey, Hong Zhang, Romit Maulik
2024	J	`jnl`	Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective. CoRR Sunwoong Yang, Hojin Kim, Yoonpyo Hong, Kwanjung Yee, Romit Maulik, Namwoo Kang
2024	J	`jnl`	Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations. CoRR Dibyajyoti Chakraborty, Seung Whan Chung, Romit Maulik
2024	J	`jnl`	Higher order quantum reservoir computing for non-intrusive reduced-order models. CoRR Vinamr Jain, Romit Maulik
2024	J	`jnl`	Improved deep learning of chaotic dynamical systems with multistep penalty losses. CoRR Dibyajyoti Chakraborty, Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik
2024	J	`jnl`	LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles. CoRR Haiwen Guan, Troy Arcomano, Ashesh Chattopadhyay, Romit Maulik
2024	J	`jnl`	Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning. CoRR Tyler H. Chang, Andrew Gillette, Romit Maulik
2024	J	`jnl`	Measure-Theoretic Time-Delay Embedding. CoRR Jonah Botvinick-Greenhouse, Maria Oprea, Romit Maulik, Yunan Yang
2024	J	`jnl`	Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks. CoRR Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan
2024	J	`jnl`	Reduced-order modeling on a near-term quantum computer. J. Comput. Phys. Katherine Asztalos, René Steijl, Romit Maulik
2024	—	`conf`	Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. SC Workshops Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2024	J	`jnl`	Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. CoRR Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2024	A*	`conf`	Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. NeurIPS Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian T. Foster, Sandeep Madireddy, Aditya Grover
2024	J	`jnl`	Scientific machine learning for closure models in multiscale problems: a review. CoRR Benjamin Sanderse, Panos Stinis, Romit Maulik, Shady E. Ahmed
2024	J	`jnl`	Semi-Implicit Neural Ordinary Differential Equations. CoRR Hong Zhang, Ying Liu, Romit Maulik
2024	J	`jnl`	Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. Comput. Phys. Commun. Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	J	`jnl`	Differentiable Turbulence II. CoRR Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Differentiable Turbulence. CoRR Varun Shankar, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Differentiable physics-enabled closure modeling for Burgers' turbulence. Mach. Learn. Sci. Technol. Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Generalizable improvement of the Spalart-Allmaras model through assimilation of experimental data. CoRR Deepinder Jot Singh Aulakh, Romit Maulik
2023	J	`jnl`	Generative Modeling of Time-Dependent Densities via Optimal Transport and Projection Pursuit. CoRR Jonah Botvinick-Greenhouse, Yunan Yang, Romit Maulik
2023	J	`jnl`	Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Interpretable Fine-Tuning for Graph Neural Network Surrogate Models. CoRR Shivam Barwey, Romit Maulik
2023	J	`jnl`	Multi-fidelity reinforcement learning framework for shape optimization. J. Comput. Phys. Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik
2023	J	`jnl`	Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning. CoRR Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2023	J	`jnl`	Multiscale graph neural network autoencoders for interpretable scientific machine learning. J. Comput. Phys. Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2023	J	`jnl`	Physics-informed neural networks for mesh deformation with exact boundary enforcement. Eng. Appl. Artif. Intell. Atakan Aygun, Romit Maulik, Ali Karakus
2023	J	`jnl`	Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles. CoRR Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash
2023	J	`jnl`	Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. CoRR Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian T. Foster, Aditya Grover
2023	J	`jnl`	Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems. J. Comput. Phys. Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik
2023	J	`jnl`	Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package. CoRR Marcin Rogowski, Brandon C. Y. Yeung, Oliver T. Schmidt, Romit Maulik, Lisandro Dalcín, Matteo Parsani, Gianmarco Mengaldo
2022	B	`conf`	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
2022	J	`jnl`	Data-driven wind turbine wake modeling via probabilistic machine learning. Neural Comput. Appl. S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo
2022	J	`jnl`	Differentiable physics-enabled closure modeling for Burgers' turbulence. CoRR Varun Shankar, Vedant Puri, Ramesh Balakrishnan, Romit Maulik, Venkatasubramanian Viswanathan
2022	J	`jnl`	Efficient data acquisition and training of collisional-radiative model artificial neural network surrogates through adaptive parameter space sampling. Mach. Learn. Sci. Technol. Nathan A Garland, Romit Maulik, Qi Tang, Xian-Zhu Tang, Prasanna Balaprakash
2022	J	`jnl`	Modeling Wind Turbine Performance and Wake Interactions with Machine Learning. CoRR Coleman Moss, Romit Maulik, Giacomo Valerio Iungo
2022	J	`jnl`	Multi-fidelity reinforcement learning framework for shape optimization. CoRR Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik
2022	J	`jnl`	Neural-network learning of SPOD latent dynamics. J. Comput. Phys. Andrea Lario, Romit Maulik, Oliver T. Schmidt, Gianluigi Rozza, Gianmarco Mengaldo
2022	J	`jnl`	PythonFOAM: In-situ data analyses with OpenFOAM and Python. J. Comput. Sci. Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel
2022	J	`jnl`	Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems. CoRR Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik
2021	J	`jnl`	Assessments of model-form uncertainty using Gaussian stochastic weight averaging for fluid-flow regression. CoRR Masaki Morimoto, Kai Fukami, Romit Maulik, Ricardo Vinuesa, Koji Fukagata
2021	J	`jnl`	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. CoRR Romain Egele, Romit Maulik, Krishnan Raghavan, Prasanna Balaprakash, Bethany Lusch
2021	—	`conf`	Data-Driven Deep Learning Emulators for Geophysical Forecasting. ICCS (5) Varuni Katti Sastry, Romit Maulik, Vishwas Rao, Bethany Lusch, S. Ashwin Renganathan, Rao Kotamarthi
2021	J	`jnl`	Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning. CoRR S. Ashwin Renganathan, Romit Maulik, Stefano Letizia, Giacomo Valerio Iungo
2021	J	`jnl`	Distributed deep reinforcement learning for simulation control. Mach. Learn. Sci. Technol. Suraj Pawar, Romit Maulik
2021	J	`jnl`	Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
2021	J	`jnl`	Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira
2021	J	`jnl`	Learning the temporal evolution of multivariate densities via normalizing flows. CoRR Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan
2021	J	`jnl`	Neural-network learning of SPOD latent dynamics. CoRR Andrea Lario, Romit Maulik, Gianluigi Rozza, Gianmarco Mengaldo
2021	—	`conf`	PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. DRBSD@SC Romit Maulik, Gianmarco Mengaldo
2021	J	`jnl`	PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. CoRR Romit Maulik, Gianmarco Mengaldo
2021	J	`jnl`	PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD). J. Open Source Softw. Gianmarco Mengaldo, Romit Maulik
2021	J	`jnl`	PythonFOAM: In-situ data analyses with OpenFOAM and Python. CoRR Romit Maulik, Dimitrios Fytanidis, Bethany Lusch, Venkatram Vishwanath, Saumil Patel
2020	—	`conf`	A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. ICCS (6) Vishwas Rao, Romit Maulik, Emil M. Constantinescu, Mihai Anitescu
2020	J	`jnl`	Deploying deep learning in OpenFOAM with TensorFlow. CoRR Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings
2020	J	`jnl`	Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation. CoRR Romit Maulik, Themistoklis Botsas, Nesar Ramachandra, Lachlan Robert Mason, Indranil Pan
2020	J	`jnl`	Meta-modeling strategy for data-driven forecasting. CoRR Dominic J. Skinner, Romit Maulik
2020	J	`jnl`	Numerical assessments of a parametric implicit large eddy simulation model. J. Comput. Appl. Math. Romit Maulik, Omer San
2020	A	`conf`	Recurrent neural network architecture search for geophysical emulation. SC Romit Maulik, Romain Egele, Bethany Lusch, Prasanna Balaprakash
2020	J	`jnl`	Site-specific graph neural network for predicting protonation energy of oxygenate molecules. CoRR Romit Maulik, Rajeev Surendran Array, Prasanna Balaprakash
2019	J	`jnl`	An artificial neural network framework for reduced order modeling of transient flows. Commun. Nonlinear Sci. Numer. Simul. Omer San, Romit Maulik, Mansoor Ahmed
2019	J	`jnl`	Using recurrent neural networks for nonlinear component computation in advection-dominated reduced-order models. CoRR Romit Maulik, Vishwas Rao, Sandeep Madireddy, Bethany Lusch, Prasanna Balaprakash
2018	J	`jnl`	Explicit and implicit LES closures for Burgers turbulence. J. Comput. Appl. Math. Romit Maulik, Omer San
2018	J	`jnl`	Neural network closures for nonlinear model order reduction. Adv. Comput. Math. Omer San, Romit Maulik
2017	J	`jnl`	A novel dynamic framework for subgrid scale parametrization of mesoscale eddies in quasigeostrophic turbulent flows. Comput. Math. Appl. Romit Maulik, Omer San