CPCPU: Coreful Programming on the CPU - Why a CPU can Benefit from Massive Multithreading. - Gorik De Samblanx; Floris De Smedt; Lars Struyf; Sander Beckers; Joost Vennekens; Toon Goedemé (PECCS, 2012)

Is the Game worth the Candle? - Evaluation of OpenCL for Object Detection Algorithm Optimization. - Floris De Smedt; Lars Struyf; Sander Beckers; Joost Vennekens; Gorik De Samblanx; Toon Goedemé (PECCS, 2012)

Counterfactual dependency and actual causation in CP-logic and structural models: a comparison. - Sander Beckers; Joost Vennekens (STAIRS, 2012)

Probabilistic Definitions of Actual Causation Using CP-logic. - Sander Beckers; Joost Vennekens (CoRR, 2014)

Faster and more intelligent object detection by combining OpenCL and KR. - Floris De Smedt; Lars Struyf; Sander Beckers; Joost Vennekens; Gorik De Samblanx; Toon Goedemé (J. Ambient Intell. Humaniz. Comput., 2014)

Combining Probabilistic, Causal, and Normative Reasoning in CP-Logic. - Sander Beckers; Joost Vennekens (AAAI Spring Symposia, 2015)

Towards a General Framework for Actual Causation Using CP-logic. - Sander Beckers; Joost Vennekens (PLP@ICLP, 2015)

A general framework for defining and extending actual causation using CP-logic. - Sander Beckers; Joost Vennekens (Int. J. Approx. Reason., 2016)

AAAI: An Argument Against Artificial Intelligence. - Sander Beckers (AAAI Workshops, 2017)

A principled approach to defining actual causation. - Sander Beckers; Joost Vennekens (Synth., 2018)

Abstracting Causal Models. - Sander Beckers; Joseph Y. Halpern (AAAI, 2019)

Approximate Causal Abstractions. - Sander Beckers; Frederick Eberhardt; Joseph Y. Halpern (UAI, 2019)

Approximate Causal Abstraction. - Sander Beckers; Frederick Eberhardt; Joseph Y. Halpern (CoRR, 2019)

Equivalent Causal Models. - Sander Beckers (AAAI, 2021)

The Counterfactual NESS Definition of Causation. - Sander Beckers (AAAI, 2021)

Causal Sufficiency and Actual Causation. - Sander Beckers (J. Philos. Log., 2021)

Correction to: Causal Sufficiency and Actual Causation. - Sander Beckers (J. Philos. Log., 2021)

Causal Explanations and XAI. - Sander Beckers (CLeaR, 2022)

A Quantitative Account of Harm. - Sander Beckers; Hana Chockler; Joseph Y. Halpern (CoRR, 2022)

Causal Models with Constraints. - Sander Beckers; Joseph Y. Halpern; Christopher Hitchcock (CLeaR, 2023)

Backtracking Counterfactuals. - Julius von Kügelgen; Abdirisak Mohamed; Sander Beckers (CLeaR, 2023)

Quantifying Harm. - Sander Beckers; Hana Chockler; Joseph Y. Halpern (IJCAI, 2023)

Moral Responsibility for AI Systems. - Sander Beckers (NeurIPS, 2023)

Trustworthiness and Responsibility in AI - Causality, Learning, and Verification (Dagstuhl Seminar 24121). - Vaishak Belle; Hana Chockler; Shannon Vallor; Kush R. Varshney; Joost Vennekens; Sander Beckers (Dagstuhl Reports, 2024)

A Causal Analysis of Harm. - Sander Beckers; Hana Chockler; Joseph Y. Halpern (Minds Mach., 2024)

Actual Causation and Nondeterministic Causal Models. - Sander Beckers (CLeaR, 2025)

Nondeterministic Causal Models. - Sander Beckers (CLeaR, 2025)