Tobias Leemann

30 papers A* 7A 1B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers.
Trans. Mach. Learn. Res.
Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
2025 A* conf
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation.
ICLR
Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre
2024 J jnl
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers.
CoRR
Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci
2024 J jnl
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation.
CoRR
Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre
2024 J jnl
Deep Neural Networks and Tabular Data: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2024 A* conf
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data.
AAAI
Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
2024 — conf
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI.
EMNLP (Findings)
Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens
2024 J jnl
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI.
CoRR
Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens
2024 J jnl
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations.
IEEE Trans. Pattern Anal. Mach. Intell.
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
2024 J jnl
Towards Non-Adversarial Algorithmic Recourse.
CoRR
Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci
2024 — conf
Towards Non-adversarial Algorithmic Recourse.
xAI (3)
Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci
2024 A* conf
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals.
KDD
Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2023 — conf
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes.
PKDD/ECML Workshops (1)
Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2023 J jnl
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes.
CoRR
Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci
2023 A* conf
Gaussian Membership Inference Privacy.
NeurIPS
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023 J jnl
Gaussian Membership Inference Privacy.
CoRR
Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023 A* conf
Language Models are Realistic Tabular Data Generators.
ICLR
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2023 A* conf
On the Trade-Off between Actionable Explanations and the Right to be Forgotten.
ICLR
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2023 A conf
When are post-hoc conceptual explanations identifiable?
UAI
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
2022 A* conf
A Consistent and Efficient Evaluation Strategy for Attribution Methods.
ICML
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
2022 J jnl
Disentangling Embedding Spaces with Minimal Distributional Assumptions.
CoRR
Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci
2022 J jnl
Evaluating Feature Attribution: An Information-Theoretic Perspective.
CoRR
Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci
2022 J jnl
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization.
CoRR
Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci
2022 J jnl
Language Models are Realistic Tabular Data Generators.
CoRR
Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
2022 J jnl
On the Trade-Off between Actionable Explanations and the Right to be Forgotten.
CoRR
Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
2022 J jnl
Towards Human-centered Explainable AI: User Studies for Model Explanations.
CoRR
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
2021 J jnl
Deep Neural Networks and Tabular Data: A Survey.
CoRR
Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci
2021 B conf
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling.
ESANN
Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
2021 J jnl
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling.
CoRR
Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann
2021 — conf
Multi-Step Training for Predicting Roundabout Traffic Situations.
ITSC
Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke