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Papers matching “causality” 28

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Disentangling causality: assumptions in causal discovery and inference
2022 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova

7

citations
The Role of Causality in Algorithmic Recourse
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Srikanth Avasarala, Varun Gupta, Shahin Jabbari, Saber Salehkaleybar, Juba Ziani

0

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash

0

citations
Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Ana Letícia Garcez Vicente, Gijs van Seeventer, Saber Salehkaleybar

0

citations
ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
2025 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Saber Salehkaleybar, Aske Plaat, Erman Acar

0

citations
DATA-DRIVEN CAUSAL DISCOVERY IN CATALYSIS
2026 ChemRxiv preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bárbara Alves Sequeira, Adèle H. Ribeiro, Catarina Barata, Carmen Bacariza, Pedro S. F. Mendes

0

citations
Optimizing Causal Interventions in Hybrid Bayesian Networks
2024 Research Square preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, +2 more

0

citations
Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Gijs van Seeventer, Saber Salehkaleybar

0

citations
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Debargha Ghosh, Silja Renooij, Anna Kononova

0

citations
DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models
2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand

0

citations
Inference Time Causal Probing in LLMs
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser

0

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
Efficient Inference in Bayesian Networks with Continuous Variables A Discretization and Knowledge Compilation Approach
2023 SSRN Electronic Journal preprint Computer Science Bayesian Modeling and Causal Inference Open access

Maarten Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova

2

citations
Mechanistic Interpretability for Transformer-based Time Series Classification
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Matīss Kalnāre, Sofoklis Kitharidis, Thomas Bäck, Bas van Stein

0

citations
How role-play shapes relevance judgment in zero-shot LLM rankers
2025 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Yumeng Wang, Jirui Qi, Catherine Chen, Panagiotis Eustratiadis, Suzan Verberne

0

citations
The risk of KV cache compression
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Lukas Haverbeck, Carmen Amo Alonso, Andrés Felipe Posada-Moreno, Sebastian Trimpe, Marco Pavone

0

citations
Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Real-Time Systems Scheduling Open access

Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen, Zdeněk Hanzálek, Paul Pop

0

citations
Finding an $ε$-close Variation of Parameters in Bayesian Networks
2023 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Bahare Salmani, Joost-Pieter Katoen

0

citations
Silent Metronome: Rhythmic Grounding for Live Music Accompaniment
2026 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Kevin Bretz, Derya Soydaner, Aske Plaat

0

citations
FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality
2024 arXiv (Cornell University) preprint Computer Science Gaze Tracking and Assistive Technology Open access

Junyuan Ding, Ziteng Wang, Chang Gao, Qinyu Chen

1

citations
Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

0

citations
Every Component Is a Lookup: One Linear Graph for Interaction, Composition and Attribution
2026 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Po-Kai Chen, Aske Plaat, Bas van Stein

0

citations
Mechanistic Interpretability of Antibody Language Models Using SAEs
2025 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Oliver M. Turnbull, Anisha Parsan, Nithin Parsan, John Jeongseok Yang, Charlotte Mary Deane

0

citations