Simon Scheidegger
Simon Scheidegger
Department of Finance, Faculty of Business and Economics (HEC Lausanne), University of Lausanne
Verified email at unil.ch - Homepage
Title
Cited by
Cited by
Year
The influence of model parameters on the prediction of gravitational wave signals from stellar core collapse
S Scheidegger, R Käppeli, SC Whitehouse, T Fischer, M Liebendörfer
Astronomy & Astrophysics 514, A51, 2010
902010
Using adaptive sparse grids to solve high‐dimensional dynamic models
J Brumm, S Scheidegger
Econometrica 85 (5), 1575-1612, 2017
882017
Gravitational waves from 3D MHD core collapse simulations
S Scheidegger, T Fischer, S Whitehouse, L Matthias
Astronomy & Astrophysics, 0
70*
FISH: a three-dimensional parallel magnetohydrodynamics code for astrophysical applications
R Käppeli, SC Whitehouse, S Scheidegger, UL Pen, M Liebendörfer
The Astrophysical Journal Supplement Series 195 (2), 20, 2011
372011
Machine learning for high-dimensional dynamic stochastic economies
S Scheidegger, I Bilionis
Journal of Computational Science 33, 68-82, 2019
262019
Gravitational waves from supernova matter
S Scheidegger, SC Whitehouse, R Käppeli, M Liebendörfer
Classical and Quantum Gravity 27 (11), 114101, 2010
262010
Computing equilibria in dynamic stochastic macro-models with heterogeneous agents
J Brumm, F Kubler, S Scheidegger
Advances in Economics and Econometrics, Eleventh World Congress, 185-230, 2017
152017
Scalable high-dimensional dynamic stochastic economic modeling
J Brumm, D Mikushin, S Scheidegger, O Schenk
Journal of Computational Science 11, 12-25, 2015
142015
Large-scale sparse inverse covariance matrix estimation
M Bollhöfer, A Eftekhari, S Scheidegger, O Schenk
SIAM Journal on Scientific Computing 41 (1), A380-A401, 2019
92019
Making Carbon Taxation a Generational Win Win
LJ Kotlikoff, F Kubler, A Polbin, JD Sachs, S Scheidegger
NBER Working Paper No. 25760, 2019
82019
Machine Learning for Dynamic Incentive Problems
P Renner, S Scheidegger
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3282487, 2018
82018
Nuclear physics in core-collapse supernovae
M Liebendoerfer, T Fischer, C Froehlich, WR Hix, K Langanke, ...
New astronomy reviews 52 (7-10), 373-376, 2008
82008
Deep Equilibrium Nets
M Azinovic, L Gaegauf, S Scheidegger
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3393482, 0
8*
Self-justified equilibria: Existence and computation
F Kubler, S Scheidegger
Available at SSRN 3494876, 2019
72019
Supernovae as nuclear and particle physics laboratories
M Liebendoerfer, T Fischer, M Hempel, A Mezzacappa, G Pagliara, ...
Nuclear Physics A 827 (1-4), 573c-578c, 2009
72009
Pricing American Options under High-Dimensional Models with Recursive Adaptive Sparse Expectations
S Scheidegger, A Treccani
Journal of Financial Econometrics, 2018
52018
Parallelized dimensional decomposition for large-scale dynamic stochastic economic models
A Eftekhari, S Scheidegger, O Schenk
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-11, 2017
52017
Rethinking large-scale economic modeling for efficiency: optimizations for GPU and Xeon Phi clusters
S Scheidegger, D Mikushin, F Kubler, O Schenk
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
42018
Gravitational waves from 3D MHD core-collapse supernova simulations with neutrino transport
SU Scheidegger
University_of_Basel, 2011
42011
Astrophys. J. Suppl. Astrophys. J. Suppl., 2009
M Liebendorfer, T Fischer, M Hempel, R KAPPELI, G PAGLIARA, ...
Progress of theoretical physics. Supplement 186, 87-92, 2010
32010
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