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Jalal Etesami

Technical University of Munich (from arXiv:2605.26271, 2026) · ORCID · OpenAlex

10 papers in scope · 8 published · 2 on the econ.EM arXiv · 77 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Mehmet Caner
  2. Gabriel Vasconcelos
  3. Mingli Chen
  4. Marcelo C. Medeiros
  5. Kunpeng Li
  6. Yuan Liao
  7. Jianqing Fan
  8. Matteo Barigozzi
  9. Martin Weidner
  10. Iván Fernández-Val
  11. Mehmet Caner Agostino Capponi Mihailo Stojnic
  12. Maurizio Daniele
  13. Agostino Capponi
  14. Yutong Chao
  15. Resat Gökhan
  16. Ali Habibnia
  17. Ruy M. Ribeiro
  18. Diego S. de Brito
  19. Rafael Alves
  20. Victor Chernozhukov

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 10)

Learning Nonlinear Factor Models with Unknown Monotone Links from Incomplete and Noisy Data
working paper2026 · arXiv
with Yutong Chao, Resat Gökhan, Ali Habibnia
Paper profile arXiv arXiv:2605.26271
Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework
working paper2023 · arXiv · 3 citations
with Ali Habibnia, Negar Kiyavash
Paper profile arXiv arXiv:2312.16707
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations · first circulated 2022
with Ehsan Mokhtarian, Mohmmadsadegh Khorasani, Negar Kiyavash, Mohammadsadegh Khorasani
Proceedings of the AAAI Conference on Artificial Intelligence
Analysis of Large Market Data Using Neural Networks: A Causal Approach
published2023 · IEEE Journal on Selected Areas in Information Theory
with Marc-Aurèle Divernois, Damir Filipović, Negar Kiyavash
IEEE Journal on Selected Areas in Information Theory
Learning Bayesian Networks in the Presence of Structural Side Information
published2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 6 citations · first circulated 2021
with Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Negar Kiyavash
Proceedings of the AAAI Conference on Artificial Intelligence
Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift
published2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 8 citations
with Philipp Geiger
Proceedings of the AAAI Conference on Artificial Intelligence
Learning Vector Autoregressive Models With Latent Processes
published2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations · first circulated 2017
with Saber Salehkaleybar, Negar Kiyavash, Kun Zhang
Proceedings of the AAAI Conference on Artificial Intelligence
Optimal Attack Strategies Against Predictors - Learning From Expert Advice
published2017 · IEEE Transactions on Information Forensics and Security · 13 citations
with Anh Truong, S. Rasoul Etesami, Negar Kiyavash
IEEE Transactions on Information Forensics and Security
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies
published2016 · IEEE Transactions on Signal and Information Processing over Networks · 18 citations
with Negar Kiyavash
IEEE Transactions on Signal and Information Processing over Networks
Learning Minimal Latent Directed Information Polytrees
published2016 · Neural Computation · 25 citations
with Negar Kiyavash, Todd P. Coleman
Neural Computation

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.