Simon Scheidegger

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Felix KublerUniversity of Zurich and Swiss Finance InstituteVerified email at bf.uzh.ch
Olaf SchenkProfessor, Institute of Computing, Universita della Svizzera italiana, SIAM FellowVerified email at usi.ch
Aryan EftekhariUniversity of LausanneVerified email at unil.ch
Laurence KotlikoffBoston UniversityVerified email at bu.edu
Roger KäppeliETH ZurichVerified email at sam.math.ethz.ch
Polbin AndreyИнститут экономической политики им.Е.Т.Гайдара (Gaidar Institute for Economic Policy)Verified email at iep.ru
Tobias FischerUniversity of WroclawVerified email at uwr.edu.pl
Johannes BrummKarlsruhe Insitute of TechnologyVerified email at kit.edu
Matthias BollhöferProfessor for Numerical Analysis, TU BraunschweigVerified email at tu-bs.de
Philipp RennerSenior Lecturer, Department of Economics, Lancaster UniversityVerified email at lancaster.ac.uk
Friedrich-Karl ThielemannProf. of theor. physics em., Univ. of Basel and guest scientist GSI DarmstadtVerified email at unibas.ch
Hui ChenProfessor of Finance, MITVerified email at mit.edu
Dmitry MikushinUniversity of LausanneVerified email at kernelgen.org
Ilias BilionisProfessor, Mechanical Engineering, Purdue UniversityVerified email at purdue.edu
Dimosthenis PasadakisPostdoctoral fellow, Università della Svizzera italianaVerified email at usi.ch
Ue-Li PenUniversity of Toronto, Canadian Institute of Theoretical AstrophysicsVerified email at cita.utoronto.ca
Anthony MezzacappaCollege of Arts and Sciences Excellence Professor and Newton W. and Wilma C. Thomas Chair, UTKVerified email at utk.edu
Jesus Fernandez-VillaverdeProfessor of Economics, University of PennsylvaniaVerified email at econ.upenn.edu
Irina SagertLos Alamos National LaboratoryVerified email at lanl.gov
Mitsuru IgamiAssociate Professor, University of TorontoVerified email at utoronto.ca

Simon Scheidegger

Department of Economics, Faculty of Business and Economics (HEC Lausanne), University of Lausanne

Verified email at unil.ch - Homepage

Climate-change economics computational economics machine learning deep learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Using adaptive sparse grids to solve high‐dimensional dynamic models J Brumm, S Scheidegger Econometrica 85 (5), 1575-1612, 2017	189	2017
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	130	2010
Deep Equilibrium Nets M Azinovic, L Gaegauf, S Scheidegger https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3393482, 0	125*
Large-scale sparse inverse covariance matrix estimation M Bollhofer, A Eftekhari, S Scheidegger, O Schenk SIAM Journal on Scientific Computing 41 (1), A380-A401, 2019	124	2019
Gravitational waves from 3D MHD core collapse simulations S Scheidegger, T Fischer, S Whitehouse, L Matthias Astronomy & Astrophysics, 0	95*
Machine learning for high-dimensional dynamic stochastic economies S Scheidegger, I Bilionis Journal of Computational Science 33, 68-82, 2019	86	2019
Making Carbon Taxation a Generational Win Win LJ Kotlikoff, F Kubler, A Polbin, JD Sachs, S Scheidegger NBER Working Paper No. 25760, 2019	81	2019
The climate in climate economics D Folini, A Friedl, F Kübler, S Scheidegger Review of Economic Studies 92 (1), 299-338, 2025	43	2025
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	41	2011
Gravitational waves from supernova matter S Scheidegger, SC Whitehouse, R Käppeli, M Liebendörfer Classical and Quantum Gravity 27 (11), 114101, 2010	38	2010
Can today’s and tomorrow’s world uniformly gain from carbon taxation? L Kotlikoff, F Kubler, A Polbin, S Scheidegger European Economic Review 168, 104819, 2024	37	2024
Pareto-improving carbon-risk taxation L Kotlikoff, F Kubler, A Polbin, S Scheidegger Economic Policy 36 (107), 551-589, 2021	24	2021
Computing equilibria in dynamic stochastic macro-models with heterogeneous agents J Brumm, F Kubler, S Scheidegger Advances in Economics and Econometrics: Theory and Applications, Eleventh …, 2017	23	2017
Scalable high-dimensional dynamic stochastic economic modeling J Brumm, D Mikushin, S Scheidegger, O Schenk Journal of Computational Science 11, 12-25, 2015	23	2015
Machine Learning for Dynamic Incentive Problems P Renner, S Scheidegger https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3282487, 2018	20	2018
Detecting edgeworth cycles T Holt, M Igami, S Scheidegger The Journal of Law and Economics 67 (1), 67-102, 2024	16	2024
Sparse grids for dynamic economic models J Brumm, C Krause, A Schaab, S Scheidegger Available at SSRN 3979412, 2021	16	2021
Self-justified equilibria: Existence and computation F Kubler, S Scheidegger Available at SSRN 3494876, 2019	16	2019
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	16	2018
Deep uncertainty quantification: With an application to integrated assessment models A Friedl, F Kübler, S Scheidegger, T Usui Working paper, University of Lausanne, 2023	15	2023

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