CLeaR 2025 Conference Submissions

Nondeterministic Causal Models
Sander Beckers
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
Rebecca J. Herman, Jonas Wahl, Urmi Ninad, Jakob Runge
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between Agents
Rhys Peter Matthew Howard, Lars Kunze
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Relational Object-Centric Actor-Critic
Leonid Anatolievich Ugadiarov, Vitaliy Vorobyov, Aleksandr Panov
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Causal Identification in Time Series Models
Erik L Jahn, Karthik Karnik, Leonard Schulman
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
On Measuring Intrinsic Causal Attributions in Deep Neural Networks
Saptarshi Saha, Dhruv Vansraj Rathore, Soumadeep Saha, David Doermann, Utpal Garain
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Compositional Models for Estimating Causal Effects
Purva Pruthi, David Jensen
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Algorithmic causal structure emerging through compression
Liang Wendong, Simon Buchholz, Bernhard Schölkopf
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Oral
- Readers: Everyone
Temporal Inverse Probability Weighting for Causal Discovery in Controlled Before–After Studies: Discovering ADEs in Generics
Aubrey Barnard, Peggy L. Peissig, David Page
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Scalable Causal Structure Learning via Amortized Conditional Independence Testing
James Leiner, Brian Manzo, Aaditya Ramdas, Wesley Tansey
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Oral
- Readers: Everyone
Selecting Accurate Subgraphical Models from Possibly Inaccurate Graphical Models
Yi Han, Joseph Ramsey, Peter Spirtes
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Counterfactual Token Generation in Large Language Models
Ivi Chatzi, Nina L. Corvelo Benz, Eleni Straitouri, Stratis Tsirtsis, Manuel Gomez Rodriguez
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Causal drivers of dynamic networks
Melania Lembo, Ester Riccardi, Veronica Vinciotti, Ernst C. Wit
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Multi-Domain Causal Discovery in Bijective Causal Models
Kasra Jalaldoust, Saber Salehkaleybar, Negar Kiyavash
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Your Assumed DAG is Wrong And Here’s How To Deal With It
Kirtan Padh, Zhufeng Li, Cecilia Casolo, Niki Kilbertus
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
Fateme Jamshidi, Sina Akbari, Negar Kiyavash
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
Elise Zhang, François Mirallès, Raphaël Rousseau-Rizzi, Arnaud Zinflou, Di Wu, Benoit Boulet
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Counterfactual explanability of black-box prediction models
Zijun Gao, Qingyuan Zhao
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
Yufeng Wu, Rohit Bhattacharya
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets
Christine W. Bang, Vanessa Didelez
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation
Melanie F. Pradier, Javier Gonzalez
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Stabilized Inverse Probability Weighting via Isotonic Calibration
Lars van der Laan, Ziming Lin, Marco Carone, Alex Luedtke
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Oral
- Readers: Everyone
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set
Davin Choo, Chandler Squires, Arnab Bhattacharyya, David Sontag
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Poster
- Readers: Everyone
Combining Causal Models for More Accurate Abstractions of Neural Networks
Theodora-Mara Pîslar, Sara Magliacane, Atticus Geiger
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Oral
- Readers: Everyone
The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
Johan de Aguas, Sebastian Krumscheid, Johan Pensar, Guido Biele
- Published: 28 Jan 2025, Last Modified: 23 Jun 2025
- CLeaR 2025 Oral
- Readers: Everyone