Armin Kekić

6 papers · 2023–2026 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) CLeaR (1) ICLR (1) ICML (1) UAI (1)

Top co-authors

Bernhard Schölkopf (6) Julius von Kügelgen (3) Michel Besserve (3) Sergio Hernan Garrido Mejia (2) Liang Wendong (2) Luigi Gresele (2) Cian Eastwood (1) Atalanti A. Mastakouri (1) Simon Buchholz (1) Andrei Liviu Nicolicioiu (1)

Research topics

Artificial Intelligence (6) Core AI (6) Machine Learning (4) Optimization & Theory (3) Deep Learning (2) Knowledge & Reasoning (2) Reasoning (2) Bayesian & Probabilistic (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Representation (1)

Keywords

causal representation learning (3) independent component analysis (2) causal graph (2) latent variable (1) additive model (1) disentangled representation (1) normalizing flow (1) interventional data (1) interventional distribution (1) causal representation (1) representation quality (1) factor of variation (1) causal factor (1) latent causal variable (1) mechanical system (1) scientific simulation (1) causal component analysis (1) interventional perspective (1) nonparametric identifiability (1) information-theoretic objective (1)

Papers

Estimating Joint Interventional Distributions from Marginal Interventional Data CLeaR 2026 Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models ICML 2025 Targeted Reduction of Causal Models UAI 2024 Causal Component Analysis NeurIPS 2023 DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability ICLR 2023 Nonparametric Identifiability of Causal Representations from Unknown Interventions NeurIPS 2023