Armin Kekic

According to our database, Armin Kekic authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies.

Armin Kekic, Jan Schneider, Dieter Büchler, Bernhard Schölkopf, Michel Besserve

CoRR, July, 2025

Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models.

Armin Kekic, Sergio Hernan Garrido Mejia, Bernhard Schölkopf

CoRR, June, 2025

2024

Estimating Joint interventional distributions from marginal interventional data.

Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekic, Atalanti-Anastasia Mastakouri

CoRR, 2024

Targeted Reduction of Causal Models.

Armin Kekic, Bernhard Schölkopf, Michel Besserve

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Evaluating vaccine allocation strategies using simulation-assisted causal modeling.

Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

Patterns, June, 2023

Deep Learning based Forecasting: a case study from the online fashion industry.

Manuel Kunz, Stefan Birr, Mones Raslan, Lei Ma, Zhen Li, Adèle Gouttes, Mateusz Koren, Tofigh Naghibi, Johannes Stephan, Mariia Bulycheva, Matthias Grzeschik, Armin Kekic, Michael Narodovitch, Kashif Rasul, Julian Sieber, Tim Januschowski

CoRR, 2023

Causal Component Analysis.

Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nonparametric Identifiability of Causal Representations from Unknown Interventions.

Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability.

Cian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Evaluating vaccine allocation strategies using simulation-assisted causal modelling.

Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf

CoRR, 2022