Siddhartha Mishra

140 papers A* 18Journal 116Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gauss-Newton Natural Gradient Descent for Shape Learning. CoRR James King, Arturs Berzins, Siddhartha Mishra, Marius Zeinhofer
2026	J	`jnl`	Imposing Boundary Conditions on Neural Operators via Learned Function Extensions. CoRR Sepehr Mousavi, Siddhartha Mishra, Laura De Lorenzis
2026	J	`jnl`	Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm. CoRR Shizheng Wen, Mingyuan Chi, Tianwei Yu, Ben Moseley, Mike Yan Michelis, Pu Ren, Hao Sun, Siddhartha Mishra
2026	J	`jnl`	Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Science. CoRR Levi E. Lingsch, Georgios Kissas, Johannes Jakubik, Siddhartha Mishra
2026	J	`jnl`	Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows. CoRR Janne Perini, Rafael Bischof, Moab Arar, Ayca Duran, Michael A. Kraus, Siddhartha Mishra, Bernd Bickel
2025	J	`jnl`	Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs. CoRR Tim De Ryck, Siddhartha Mishra, Y. Shang, F. Wang
2025	J	`jnl`	Data-Driven, ML-assisted Approaches to Problem Well-Posedness. CoRR Tom Bertalan, George A. Kevrekidis, Eleni D. Koronaki, Siddhartha Mishra, Elizaveta Rebrova, Yannis G. Kevrekidis
2025	J	`jnl`	Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes. CoRR Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm
2025	J	`jnl`	Functional Neural Wavefunction Optimization. CoRR Victor Armegioiu, Juan Carrasquilla, Siddhartha Mishra, Johannes Müller, Jannes Nys, Marius Zeinhofer, Hang Zhang
2025	J	`jnl`	Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains. CoRR Shizheng Wen, Arsh Kumbhat, Levi E. Lingsch, Sepehr Mousavi, Yizhou Zhao, Praveen Chandrashekar, Siddhartha Mishra
2025	J	`jnl`	HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions. CoRR Rafael Bischof, Michal Piovarci, Michael A. Kraus, Siddhartha Mishra, Bernd Bickel
2025	J	`jnl`	Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids. Comput. Geosci. Mostafa Kiani Shahvandi, Siddhartha Mishra, Benedikt Soja
2025	J	`jnl`	NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery. CoRR Sergei Garmaev, Siddhartha Mishra, Olga Fink
2025	J	`jnl`	Neuro-Symbolic AI for Analytical Solutions of Differential Equations. CoRR Orestis Oikonomou, Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2025	J	`jnl`	Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs. CoRR David Graber, Victor Armegioiu, Rebecca Buller, Siddhartha Mishra
2025	J	`jnl`	RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains. CoRR Sepehr Mousavi, Shizheng Wen, Levi E. Lingsch, Maximilian Herde, Bogdan Raonic, Siddhartha Mishra
2025	J	`jnl`	Rectified Flows for Fast Multiscale Fluid Flow Modeling. CoRR Victor Armegioiu, Yannick Ramic, Siddhartha Mishra
2025	J	`jnl`	Towards a Certificate of Trust: Task-Aware OOD Detection for Scientific AI. CoRR Bogdan Raonic, Siddhartha Mishra, Samuel Lanthaler
2025	J	`jnl`	Universality of physical neural networks with multivariate nonlinearity. CoRR Benjamin Savinson, David J. Norris, Siddhartha Mishra, Samuel Lanthaler
2024	A*	`conf`	An operator preconditioning perspective on training in physics-informed machine learning. ICLR Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac
2024	A*	`conf`	Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains. ICML Levi E. Lingsch, Mike Yan Michelis, Emmanuel de Bézenac, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra
2024	—	`conf`	Efficient Computation of Large-Scale Statistical Solutions to Incompressible Fluid Flows. PASC Tobias Rohner, Siddhartha Mishra
2024	A*	`conf`	FUSE: Fast Unified Simulation and Estimation for PDEs. NeurIPS Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2024	J	`jnl`	FUSE: Fast Unified Simulation and Estimation for PDEs. CoRR Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
2024	J	`jnl`	Generative AI for fast and accurate Statistical Computation of Fluids. CoRR Roberto Molinaro, Samuel Lanthaler, Bogdan Raonic, Tobias Rohner, Victor Armegioiu, Zhong Yi Wan, Fei Sha, Siddhartha Mishra, Leonardo Zepeda-Núñez
2024	J	`jnl`	How does over-squashing affect the power of GNNs? Trans. Mach. Learn. Res. Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2024	J	`jnl`	Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning. Acta Numer. Tim De Ryck, Siddhartha Mishra
2024	J	`jnl`	Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning. CoRR Tim De Ryck, Siddhartha Mishra
2024	J	`jnl`	On the Vanishing Viscosity Limit of Statistical Solutions of the Incompressible Navier-Stokes Equations. SIAM J. Math. Anal. Ulrik Skre Fjordholm, Siddhartha Mishra, Franziska Weber
2024	J	`jnl`	Overlapping Schwarz Preconditioners for Randomized Neural Networks with Domain Decomposition. CoRR Yong Shang, Alexander Heinlein, Siddhartha Mishra, Fei Wang
2024	A*	`conf`	Poseidon: Efficient Foundation Models for PDEs. NeurIPS Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra
2024	J	`jnl`	Poseidon: Efficient Foundation Models for PDEs. CoRR Maximilian Herde, Bogdan Raonic, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra
2024	J	`jnl`	S7: Selective and Simplified State Space Layers for Sequence Modeling. CoRR Taylan Soydan, Nikola Zubic, Nico Messikommer, Siddhartha Mishra, Davide Scaramuzza
2024	A*	`conf`	SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models. NeurIPS Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman
2024	J	`jnl`	SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models. CoRR Yu Yang, Siddhartha Mishra, Jeffrey N. Chiang, Baharan Mirzasoleiman
2024	J	`jnl`	wPINNs: Weak Physics Informed Neural Networks for Approximating Entropy Solutions of Hyperbolic Conservation Laws. SIAM J. Numer. Anal. Tim De Ryck, Siddhartha Mishra, Roberto Molinaro
2023	J	`jnl`	A Monte-Carlo ab-initio algorithm for the multiscale simulation of compressible multiphase flows. CoRR Marco Petrella, Rémi Abgrall, Siddhartha Mishra
2023	J	`jnl`	A Survey on Oversmoothing in Graph Neural Networks. CoRR T. Konstantin Rusch, Michael M. Bronstein, Siddhartha Mishra
2023	J	`jnl`	A universal approximation theorem for nonlinear resistive networks. CoRR Benjamin Scellier, Siddhartha Mishra
2023	J	`jnl`	An operator preconditioning perspective on training in physics-informed machine learning. CoRR Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac
2023	J	`jnl`	Are Neural Operators Really Neural Operators? Frame Theory Meets Operator Learning. CoRR Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari
2023	A*	`conf`	Convolutional Neural Operators for robust and accurate learning of PDEs. NeurIPS Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac
2023	J	`jnl`	Convolutional Neural Operators. CoRR Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bézenac
2023	A*	`conf`	Gradient Gating for Deep Multi-Rate Learning on Graphs. ICLR T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra
2023	J	`jnl`	How does over-squashing affect the power of GNNs? CoRR Francesco Di Giovanni, T. Konstantin Rusch, Michael M. Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Velickovic
2023	J	`jnl`	Multi-Scale Message Passing Neural PDE Solvers. CoRR Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra
2023	J	`jnl`	Multilevel domain decomposition-based architectures for physics-informed neural networks. CoRR Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley
2023	A*	`conf`	Neural Inverse Operators for Solving PDE Inverse Problems. ICML Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra
2023	J	`jnl`	Neural Inverse Operators for Solving PDE Inverse Problems. CoRR Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra
2023	A*	`conf`	Neural Oscillators are Universal. NeurIPS Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
2023	J	`jnl`	Neural Oscillators are Universal. CoRR Samuel Lanthaler, T. Konstantin Rusch, Siddhartha Mishra
2023	A*	`conf`	Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. ICLR Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
2023	J	`jnl`	On the discrete equation model for compressible multiphase fluid flows. J. Comput. Phys. Marco Petrella, Rémi Abgrall, Siddhartha Mishra
2023	A*	`conf`	Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning. NeurIPS Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra, Rima Alaifari
2023	J	`jnl`	Vandermonde Neural Operators. CoRR Levi E. Lingsch, Mike Yan Michelis, Sirani M. Perera, Robert K. Katzschmann, Siddhartha Mishra
2022	J	`jnl`	Agnostic Physics-Driven Deep Learning. CoRR Benjamin Scellier, Siddhartha Mishra, Yoshua Bengio, Yann Ollivier
2022	A*	`conf`	An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. AAAI Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
2022	J	`jnl`	Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi
2022	J	`jnl`	Error analysis for deep neural network approximations of parametric hyperbolic conservation laws. CoRR Tim De Ryck, Siddhartha Mishra
2022	J	`jnl`	Error analysis for physics-informed neural networks (PINNs) approximating Kolmogorov PDEs. Adv. Comput. Math. Tim De Ryck, Siddhartha Mishra
2022	J	`jnl`	Error estimates for physics informed neural networks approximating the Navier-Stokes equations. CoRR Tim De Ryck, Ameya D. Jagtap, Siddhartha Mishra
2022	J	`jnl`	Finite basis physics-informed neural networks as a Schwarz domain decomposition method. CoRR Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley
2022	A*	`conf`	Generic bounds on the approximation error for physics-informed (and) operator learning. NeurIPS Tim De Ryck, Siddhartha Mishra
2022	J	`jnl`	Generic bounds on the approximation error for physics-informed (and) operator learning. CoRR Tim De Ryck, Siddhartha Mishra
2022	J	`jnl`	Gradient Gating for Deep Multi-Rate Learning on Graphs. CoRR T. Konstantin Rusch, Benjamin Paul Chamberlain, Michael W. Mahoney, Michael M. Bronstein, Siddhartha Mishra
2022	A*	`conf`	Graph-Coupled Oscillator Networks. ICML T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
2022	J	`jnl`	Graph-Coupled Oscillator Networks. CoRR T. Konstantin Rusch, Benjamin Paul Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
2022	A*	`conf`	Long Expressive Memory for Sequence Modeling. ICLR T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
2022	J	`jnl`	Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities. CoRR Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
2022	J	`jnl`	On the discrete equation model for compressible multiphase fluid flows. CoRR Marco Petrella, Rémi Abgrall, Siddhartha Mishra
2022	A*	`conf`	Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen
2022	J	`jnl`	Variable-Input Deep Operator Networks. CoRR Michael Prasthofer, Tim De Ryck, Siddhartha Mishra
2022	—	`conf`	Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. ACL (1) Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
2022	J	`jnl`	wPINNs: Weak Physics informed neural networks for approximating entropy solutions of hyperbolic conservation laws. CoRR Tim De Ryck, Siddhartha Mishra, Roberto Molinaro
2021	J	`jnl`	A novel fourth-order WENO interpolation technique. A possible new tool designed for radiative transfer. CoRR Gioele Janett, Oskar Steiner, Ernest Alsina Ballester, Luca Belluzzi, Siddhartha Mishra
2021	A*	`conf`	Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies. ICLR T. Konstantin Rusch, Siddhartha Mishra
2021	J	`jnl`	Enhancing Accuracy of Deep Learning Algorithms by Training with Low-Discrepancy Sequences. SIAM J. Numer. Anal. Siddhartha Mishra, T. Konstantin Rusch
2021	J	`jnl`	Error analysis for physics informed neural networks (PINNs) approximating Kolmogorov PDEs. CoRR Tim De Ryck, Siddhartha Mishra
2021	J	`jnl`	Error estimates for DeepOnets: A deep learning framework in infinite dimensions. CoRR Samuel Lanthaler, Siddhartha Mishra, George Em Karniadakis
2021	J	`jnl`	Higher-Order Quasi-Monte Carlo Training of Deep Neural Networks. SIAM J. Sci. Comput. Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab
2021	J	`jnl`	Long Expressive Memory for Sequence Modeling. CoRR T. Konstantin Rusch, Siddhartha Mishra, N. Benjamin Erichson, Michael W. Mahoney
2021	J	`jnl`	On Universal Approximation and Error Bounds for Fourier Neural Operators. J. Mach. Learn. Res. Nikola B. Kovachki, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the approximation of functions by tanh neural networks. CoRR Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the approximation of functions by tanh neural networks. Neural Networks Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	On the well-posedness of Bayesian inversion for PDEs with ill-posed forward problems. CoRR Samuel Lanthaler, Siddhartha Mishra, Franziska Weber
2021	J	`jnl`	On universal approximation and error bounds for Fourier Neural Operators. CoRR Nikola B. Kovachki, Samuel Lanthaler, Siddhartha Mishra
2021	J	`jnl`	Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs. CoRR Genming Bai, Ujjwal Koley, Siddhartha Mishra, Roberto Molinaro
2021	A*	`conf`	UnICORNN: A recurrent model for learning very long time dependencies. ICML T. Konstantin Rusch, Siddhartha Mishra
2021	J	`jnl`	UnICORNN: A recurrent model for learning very long time dependencies. CoRR T. Konstantin Rusch, Siddhartha Mishra
2021	J	`jnl`	Well-posedness of Bayesian inverse problems for hyperbolic conservation laws. CoRR Siddhartha Mishra, David Ochsner, Adrian Montgomery Ruf, Franziska Weber
2020	J	`jnl`	Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies. CoRR T. Konstantin Rusch, Siddhartha Mishra
2020	J	`jnl`	Deep learning observables in computational fluid dynamics. J. Comput. Phys. Kjetil O. Lye, Siddhartha Mishra, Deep Ray
2020	J	`jnl`	Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences. CoRR Siddhartha Mishra, T. Konstantin Rusch
2020	J	`jnl`	Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs II: A class of inverse problems. CoRR Siddhartha Mishra, Roberto Molinaro
2020	J	`jnl`	Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs. CoRR Siddhartha Mishra, Roberto Molinaro
2020	J	`jnl`	Higher-order Quasi-Monte Carlo Training of Deep Neural Networks. CoRR Marcello Longo, Siddhartha Mishra, T. Konstantin Rusch, Christoph Schwab
2020	J	`jnl`	Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks. CoRR Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar
2020	J	`jnl`	On the Convergence of the Spectral Viscosity Method for the Two-Dimensional Incompressible Euler Equations with Rough Initial Data. Found. Comput. Math. Samuel Lanthaler, Siddhartha Mishra
2020	J	`jnl`	On the conservation of energy in two-dimensional incompressible flows. CoRR Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido
2020	J	`jnl`	Physics Informed Neural Networks for Simulating Radiative Transfer. CoRR Siddhartha Mishra, Roberto Molinaro
2019	J	`jnl`	A Multi-level procedure for enhancing accuracy of machine learning algorithms. CoRR Kjetil O. Lye, Siddhartha Mishra, Roberto Molinaro
2019	—	`conf`	Automatic Identification of Mixed Retinal Cells in Time-Lapse Fluorescent Microscopy Images using High-Dimensional DBSCAN. EMBC Divya Spoorthy, Shanmukh Reddy Manne, Vaibhav Dhyani, Sarpras Swain, Shahna Shahulhameed, Siddhartha Mishra, Inderjeet Kaur, Lopamudra Giri, Soumya Jana
2019	J	`jnl`	Deep learning observables in computational fluid dynamics. CoRR Kjetil O. Lye, Siddhartha Mishra, Deep Ray
2019	J	`jnl`	On the approximation of rough functions with deep neural networks. CoRR Tim De Ryck, Siddhartha Mishra, Deep Ray
2019	J	`jnl`	Statistical solutions of hyperbolic systems of conservation laws: numerical approximation. CoRR Ulrik Skre Fjordholm, Kjetil O. Lye, Siddhartha Mishra, Franziska Weber
2019	J	`jnl`	Statistical solutions of the incompressible Euler equations. CoRR Samuel Lanthaler, Siddhartha Mishra, Carlos Parés-Pulido
2018	J	`jnl`	A machine learning framework for data driven acceleration of computations of differential equations. CoRR Siddhartha Mishra
2018	J	`jnl`	Numerical Approximation of Statistical Solutions of Scalar Conservation Laws. SIAM J. Numer. Anal. Ulrik S. Fjordholm, Kjetil O. Lye, Siddhartha Mishra
2017	J	`jnl`	Construction of Approximate Entropy Measure-Valued Solutions for Hyperbolic Systems of Conservation Laws. Found. Comput. Math. Ulrik S. Fjordholm, Roger Käppeli, Siddhartha Mishra, Eitan Tadmor
2016	J	`jnl`	Entropy stability and well-balancedness of space-time DG for the shallow water equations with bottom topography. Networks Heterog. Media Andreas Hiltebrand, Siddhartha Mishra
2016	J	`jnl`	Multi-level Monte Carlo finite volume methods for uncertainty quantification of acoustic wave propagation in random heterogeneous layered medium. J. Comput. Phys. Siddhartha Mishra, Christoph Schwab, Jonas Sukys
2016	J	`jnl`	Numerical Solution of Scalar Conservation Laws with Random Flux Functions. SIAM/ASA J. Uncertain. Quantification Siddhartha Mishra, Nils Henrik Risebro, Christoph Schwab, Svetlana V. Tokareva
2016	J	`jnl`	On a Model for the Evolution of Morphogens in a Growing Tissue. SIAM J. Math. Anal. Giuseppe Maria Coclite, M. M. Coclite, Siddhartha Mishra
2016	J	`jnl`	On the computation of measure-valued solutions. Acta Numer. Ulrik S. Fjordholm, Siddhartha Mishra, Eitan Tadmor
2015	J	`jnl`	Schemes with Well-Controlled Dissipation. SIAM J. Numer. Anal. Jan Ernest, Philippe G. LeFloch, Siddhartha Mishra
2014	J	`jnl`	Entropy stable shock capturing space-time discontinuous Galerkin schemes for systems of conservation laws. Numerische Mathematik Andreas Hiltebrand, Siddhartha Mishra
2014	J	`jnl`	Numerical methods with controlled dissipation for small-scale dependent shocks. Acta Numer. Philippe G. LeFloch, Siddhartha Mishra
2013	J	`jnl`	Convergence of vanishing capillarity approximations for scalar conservation laws with discontinuous fluxes. Networks Heterog. Media Giuseppe Maria Coclite, Lorenzo di Ruvo, Jan Ernest, Siddhartha Mishra
2013	J	`jnl`	ENO Reconstruction and ENO Interpolation Are Stable. Found. Comput. Math. Ulrik S. Fjordholm, Siddhartha Mishra, Eitan Tadmor
2013	J	`jnl`	Entropy Conservative and Entropy Stable Schemes for Nonconservative Hyperbolic Systems. SIAM J. Numer. Anal. Manuel J. Castro, Ulrik S. Fjordholm, Siddhartha Mishra, Carlos Parés Madroñal
2013	—	`ch.`	Multi-level Monte Carlo Finite Volume Methods for Uncertainty Quantification in Nonlinear Systems of Balance Laws. Uncertainty Quantification in Computational Fluid Dynamics Siddhartha Mishra, Christoph Schwab, Jonas Sukys
2013	—	`book`	Uncertainty Quantification in Computational Fluid Dynamics Hester Bijl, Didier Lucor, Siddhartha Mishra, Christoph Schwab
2012	J	`jnl`	Arbitrarily High-order Accurate Entropy Stable Essentially Nonoscillatory Schemes for Systems of Conservation Laws. SIAM J. Numer. Anal. Ulrik S. Fjordholm, Siddhartha Mishra, Eitan Tadmor
2012	J	`jnl`	Entropy Stable Numerical Schemes for Two-Fluid Plasma Equations. J. Sci. Comput. Harish Kumar, Siddhartha Mishra
2012	J	`jnl`	Multi-level Monte Carlo finite volume methods for nonlinear systems of conservation laws in multi-dimensions. J. Comput. Phys. Siddhartha Mishra, Christoph Schwab, Jonas Sukys
2012	J	`jnl`	Multilevel Monte Carlo Finite Volume Methods for Shallow Water Equations with Uncertain Topography in Multi-dimensions. SIAM J. Sci. Comput. Siddhartha Mishra, Christoph Schwab, Jonas Sukys
2012	J	`jnl`	Sparse tensor multi-level Monte Carlo finite volume methods for hyperbolic conservation laws with random initial data. Math. Comput. Siddhartha Mishra, Christoph Schwab
2011	J	`jnl`	Constraint Preserving Schemes Using Potential-Based Fluxes. II. Genuinely Multidimensional Systems of Conservation Laws. SIAM J. Numer. Anal. Siddhartha Mishra, Eitan Tadmor
2011	J	`jnl`	Implicit-explicit schemes for flow equations with stiff source terms. J. Comput. Appl. Math. Magnus Svärd, Siddhartha Mishra
2011	—	`conf`	Static Load Balancing for Multi-level Monte Carlo Finite Volume Solvers. PPAM (1) Jonas Sukys, Siddhartha Mishra, Christoph Schwab
2011	J	`jnl`	Vorticity Preserving Finite Volume Schemes for the Shallow Water Equations. SIAM J. Sci. Comput. Ulrik S. Fjordholm, Siddhartha Mishra
2011	J	`jnl`	Well-balanced and energy stable schemes for the shallow water equations with discontinuous topography. J. Comput. Phys. Ulrik S. Fjordholm, Siddhartha Mishra, Eitan Tadmor
2010	J	`jnl`	Convergence of an Engquist-Osher scheme for a multi-dimensional triangular system of conservation laws. Math. Comput. Giuseppe Maria Coclite, Siddhartha Mishra, Nils Henrik Risebro
2009	J	`jnl`	Convergence of finite volume schemes for triangular systems of conservation laws. Numerische Mathematik Kenneth H. Karlsen, Siddhartha Mishra, Nils Henrik Risebro
2009	J	`jnl`	On the upstream mobility scheme for two-phase flow in porous media CoRR Siddhartha Mishra, Jérôme Jaffré
2009	J	`jnl`	Shock Capturing Artificial Dissipation for High-Order Finite Difference Schemes. J. Sci. Comput. Magnus Svärd, Siddhartha Mishra
2009	J	`jnl`	Well-balanced schemes for conservation laws with source terms based on a local discontinuous flux formulation. Math. Comput. Kenneth H. Karlsen, Siddhartha Mishra, Nils Henrik Risebro
2007	J	`jnl`	Convergence of Godunov type methods for a conservation law with a spatially varying discontinuous flux function. Math. Comput. Adimurthi, Siddhartha Mishra, G. D. Veerappa Gowda
2007	J	`jnl`	Existence and stability of entropy solutions for a conservation law with discontinuous non-convex fluxes. Networks Heterog. Media Adimurthi, Siddhartha Mishra, G. D. Veerappa Gowda
2005	J	`jnl`	Convergence of Upwind Finite Difference Schemes for a Scalar Conservation Law with Indefinite Discontinuities in the Flux Function. SIAM J. Numer. Anal. Siddhartha Mishra