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Deep Equilibrium Nets

Citations

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Cited by:

  1. Galo Nuño, 2025. "Three Theories of Natural Rate Dynamics," Working Papers 2528, Banco de España.
  2. Feyzollahi, Maryam & Rafizadeh, Nima, 2025. "The adoption of Large Language Models in economics research," Economics Letters, Elsevier, vol. 250(C).
  3. Pedro Afonso Fernandes, 2024. "Forecasting with Neuro-Dynamic Programming," Papers 2404.03737, arXiv.org.
  4. Sergio Ocampo & Baxter Robinson, 2024. "Computing Longitudinal Moments for Heterogeneous Agent Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1891-1912, September.
  5. Fernández-Villaverde, Jesús & Marbet, Joël & Nuño, Galo & Rachedi, Omar, 2025. "Inequality and the zero lower bound," Journal of Econometrics, Elsevier, vol. 249(PC).
  6. Xianhua Peng & Steven Kou & Lekang Zhang, 2024. "A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics," Papers 2411.08668, arXiv.org, revised Dec 2024.
  7. Zhouzhou Gu & Mathieu Lauri`ere & Sebastian Merkel & Jonathan Payne, 2024. "Global Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models," Papers 2406.13726, arXiv.org.
  8. Emmet Hall-Hoffarth, 2023. "Non-linear approximations of DSGE models with neural-networks and hard-constraints," Papers 2310.13436, arXiv.org.
  9. Victor Duarte & Diogo Duarte & Dejanir H. Silva, 2024. "Machine Learning for Continuous-Time Finance," CESifo Working Paper Series 10909, CESifo.
  10. Kubler, Felix & Scheidegger, Simon, 2023. "Uniformly self-justified equilibria," Journal of Economic Theory, Elsevier, vol. 212(C).
  11. Mahdi Ebrahimi Kahou & Jesse Perla & Geoff Pleiss, 2024. "Solving Models of Economic Dynamics with Ridgeless Kernel Regressions," Papers 2406.01898, arXiv.org, revised Oct 2025.
  12. Michael Barnett & William Brock & Lars Peter Hansen & Ruimeng Hu & Joseph Huang, 2023. "A Deep Learning Analysis of Climate Change, Innovation, and Uncertainty," Papers 2310.13200, arXiv.org.
  13. Marlon Azinovic-Yang & Jan Zemlicka, 2025. "Deep Learning in the Sequence Space," CERGE-EI Working Papers wp802, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  14. Alexeeva, Tatyana A. & Kuznetsov, Nikolay V. & Mokaev, Timur N. & Zelinka, Ivan, 2025. "Chaotic dynamics in an overlapping generations model: Forecasting and regularization," Chaos, Solitons & Fractals, Elsevier, vol. 196(C).
  15. Boehl, Gregor, 2025. "HANK on speed: Robust nonlinear solutions using automatic differentiation," Journal of Economic Theory, Elsevier, vol. 230(C).
  16. Eftekhari, Aryan & Juillard, Michel & Rion, Normann & Scheidegger, Simon, 2026. "Scalable global solution techniques for high-dimensional models in Dynare," Journal of Economic Dynamics and Control, Elsevier, vol. 182(C).
  17. Marlon Azinovic & Jan v{Z}emliv{c}ka, 2023. "Economics-Inspired Neural Networks with Stabilizing Homotopies," Papers 2303.14802, arXiv.org.
  18. Lee, H., 2026. "Dancing on the Saddles: A Geometric Framework for Stochastic Equilibrium Dynamics," Cambridge Working Papers in Economics 2604, Faculty of Economics, University of Cambridge.
  19. Hanno Kase & Matthias Rottner & Fabio Stohler, 2025. "Generative economic modeling," BIS Working Papers 1312, Bank for International Settlements.
  20. Kase, Hanno & Melosi, Leonardo & Rottner, Matthias, 2022. "Estimating Nonlinear Heterogeneous Agents Models with Neural Networks," CEPR Discussion Papers 17391, C.E.P.R. Discussion Papers.
  21. Skavysh, Vladimir & Priazhkina, Sofia & Guala, Diego & Bromley, Thomas R., 2023. "Quantum monte carlo for economics: Stress testing and macroeconomic deep learning," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
  22. Elisei Leonov, 2023. "Neural Network-Based Numerical Analysis of the Impact of Pandemic Shocks in Three-Sector DSGE Model," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 80-107, December.
  23. Takeshi Fukasawa, 2024. "Computationally Efficient Methods for Solving Discrete-time Dynamic models with Continuous Actions," Papers 2407.04227, arXiv.org, revised Feb 2025.
  24. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.
  25. Marlon Azinovic-Yang & Jan v{Z}emliv{c}ka, 2025. "Deep Learning in the Sequence Space," Papers 2509.13623, arXiv.org, revised Mar 2026.
  26. Vytautas Valaitis & Alessandro T. Villa, 2024. "A machine learning projection method for macro‐finance models," Quantitative Economics, Econometric Society, vol. 15(1), pages 145-173, January.
  27. Benjamin Fan & Edward Qiao & Anran Jiao & Zhouzhou Gu & Wenhao Li & Lu Lu, 2025. "Deep Learning for Solving and Estimating Dynamic Macro-finance Models," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3885-3921, June.
  28. Ciccarelli, Matteo & Darracq Pariès, Matthieu & Priftis, Romanos & Angelini, Elena & Bańbura, Marta & Bokan, Nikola & Fagan, Gabriel & Gumiel, José Emilio & Kornprobst, Antoine & Lalik, Magdalena & Mo, 2024. "ECB macroeconometric models for forecasting and policy analysis," Occasional Paper Series 344, European Central Bank.
  29. Pascal, Julien, 2024. "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," Journal of Economic Dynamics and Control, Elsevier, vol. 162(C).
  30. Kshama Dwarakanath & Tucker Balch & Svitlana Vyetrenko, 2024. "ABIDES-Economist: Agent-Based Simulator of Economic Systems with Learning Agents," Papers 2402.09563, arXiv.org, revised Aug 2025.
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