Ioan Gabriel Bucur

15 papers A* 1A 3Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps. IACR Trans. Cryptogr. Hardw. Embed. Syst. Anna Guinet, Georg Land, Ioan Gabriel Bucur, Tim Güneysu
2023	—	`conf`	Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding. CLeaR Mirthe Maria Van Diepen, Ioan Gabriel Bucur, Tom Heskes, Tom Claassen
2022	A	`conf`	Greedy equivalence search in the presence of latent confounders. UAI Tom Claassen, Ioan Gabriel Bucur
2020	A*	`conf`	Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. NeurIPS Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen
2020	J	`jnl`	Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. CoRR Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen
2020	A	`conf`	MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. UAI Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
2020	J	`jnl`	MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models. CoRR Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
2019	J	`jnl`	A novel Bayesian approach for latent variable modeling from mixed data with missing values. Stat. Comput. Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
2019	J	`jnl`	Large-Scale Local Causal Inference of Gene Regulatory Relationships. CoRR Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
2019	J	`jnl`	Large-scale local causal inference of gene regulatory relationships. Int. J. Approx. Reason. Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
2018	—	`conf`	A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. PGM Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes
2018	J	`jnl`	A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks. CoRR Ioan Gabriel Bucur, Tom van Bussel, Tom Claassen, Tom Heskes
2018	J	`jnl`	A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values. CoRR Ruifei Cui, Ioan Gabriel Bucur, Perry Groot, Tom Heskes
2017	A	`conf`	Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. AISTATS Ioan Gabriel Bucur, Tom Claassen, Tom Heskes
2017	J	`jnl`	Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness. CoRR Ioan Gabriel Bucur, Tom Claassen, Tom Heskes

2023 — conf

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.

AISec

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

2026 — preprint

CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.

arXiv

Matti Schulze, Thorsten Holz, Felix C. Freiling