VoxPopuli: A large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation C Wang, M Riviere, A Lee, A Wu, C Talnikar, D Haziza, M Williamson, ... arXiv preprint arXiv:2101.00390, 2021 | 459 | 2021 |
Future directions of high fidelity CFD for aerothermal turbomachinery analysis and design GM Laskowski, J Kopriva, V Michelassi, S Shankaran, U Paliath, ... 46th AIAA fluid dynamics conference, 3322, 2016 | 80 | 2016 |
Adjoint sensitivity analysis on chaotic dynamical systems by Non-Intrusive Least Squares Adjoint Shadowing (NILSAS) A Ni, C Talnikar Journal of Computational Physics 395, 690-709, 2019 | 46 | 2019 |
BooleSim: an interactive Boolean network simulator M Bock, T Scharp, C Talnikar, E Klipp Bioinformatics 30 (1), 131-132, 2014 | 38 | 2014 |
Sensitivity analysis on chaotic dynamical systems by finite difference non-intrusive least squares shadowing (FD-NILSS) A Ni, Q Wang, P Fernandez, C Talnikar Journal of Computational Physics 394, 615-631, 2019 | 36 | 2019 |
Joint masked cpc and ctc training for asr C Talnikar, T Likhomanenko, R Collobert, G Synnaeve ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 32 | 2021 |
Feasibility analysis of ensemble sensitivity computation in turbulent flows N Chandramoorthy, P Fernandez, C Talnikar, Q Wang AIAA Journal 57 (10), 4514-4526, 2019 | 29 | 2019 |
Unsteady adjoint of pressure loss for a fundamental transonic turbine vane C Talnikar, Q Wang, GM Laskowski Journal of Turbomachinery 139 (3), 031001, 2017 | 25 | 2017 |
An analysis of the ensemble adjoint approach to sensitivity analysis in chaotic systems N Chandramoorthy, P Fernandez, C Talnikar, Q Wang 23rd AIAA Computational Fluid Dynamics Conference, 3799, 2017 | 16 | 2017 |
Parallel optimization for large eddy simulations C Talnikar, P Blonigan, J Bodart, Q Wang arXiv preprint arXiv:1410.8859, 2014 | 10 | 2014 |
A two-level computational graph method for the adjoint of a finite volume based compressible unsteady flow solver C Talnikar, Q Wang Parallel Computing 81, 68-84, 2019 | 9 | 2019 |
The ensemble adjoint method for chaotic CFD: a feasibility study N Chandramoorthy, P Fernández, C Talnikar, Q Wang 23rd AIAA Computational Fluid Dynamics Conference, Denver, USA, 2017 | 8 | 2017 |
Parallel optimization for LES C Talnikar, P Blonigan, J Bodart, Q Wang Proceedings of the Summer Program, 315, 2014 | 8 | 2014 |
Attitude Determination and Control of Pratham, IIT Bombay's First Student Satellite SS Mulay, J Joshi, YS Chati, VV Unhelkar, S Bandyopadhyay, ... Advances in the Astronautical Sciences 145, 1509-1528, 2012 | 7* | 2012 |
Optimization with LES--algorithms for dealing with sampling error of turbulence statistics C Talnikar, PJ Blonigan, J Bodart, Q Wang 53rd AIAA Aerospace Sciences Meeting, 1954, 2015 | 6 | 2015 |
Adjoint-based trailing edge shape optimization of a transonic turbine vane using large eddy simulations C Talnikar, Q Wang arXiv preprint arXiv:2011.06744, 2020 | 4 | 2020 |
Linear Range in Gradient Descent A Ni, C Talnikar arXiv preprint arXiv:1905.04561, 2019 | 4 | 2019 |
Viscosity stabilized adjoint method for unsteady compressible Navier-Stokes equations CA Talnikar Massachusetts Institute of Technology, 2018 | 2 | 2018 |
Learning communication policies for decentralized task allocation under communication constraints S Raja Massachusetts Institute of Technology, 2020 | | 2020 |
Design optimization using adjoint of Long-time LES for the trailing edge of a transonic turbine vane C Talnikar, Q Wang APS Division of Fluid Dynamics Meeting Abstracts, D31. 007, 2017 | | 2017 |