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ORCIDTobias Leemann
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2020 – today
- 2024
[j2]Yao Rong
, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci:
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2104-2122 (2024)- [j1]Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci:
Deep Neural Networks and Tabular Data: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7499-7519 (2024) - [c12]Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci:
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. AAAI 2024: 21312-21321 - [c11]Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens:
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. EMNLP (Findings) 2024: 13224-13242 - [c10]Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals. KDD 2024: 2420-2431 - [c9]Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci:
Towards Non-adversarial Algorithmic Recourse. xAI (3) 2024: 395-419 - [i14]Tobias Leemann, Martin Pawelczyk, Bardh Prenkaj, Gjergji Kasneci:
Towards Non-Adversarial Algorithmic Recourse. CoRR abs/2403.10330 (2024) - [i13]Tobias Leemann, Alina Fastowski, Felix Pfeiffer, Gjergji Kasneci:
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers. CoRR abs/2405.13536 (2024) - [i12]Miriam Schirmer, Tobias Leemann, Gjergji Kasneci, Jürgen Pfeffer, David Jurgens:
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI. CoRR abs/2408.05977 (2024) - [i11]Tobias Leemann, Periklis Petridis, Giuseppe Vietri, Dionysis Manousakas, Aaron Roth, Sergül Aydöre:
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation. CoRR abs/2410.03461 (2024) - 2023
- [c8]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. ICLR 2023 - [c7]Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci:
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. ICLR 2023 - [c6]Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Membership Inference Privacy. NeurIPS 2023 - [c5]Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. PKDD/ECML Workshops (1) 2023: 325-337 - [c4]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
When are post-hoc conceptual explanations identifiable? UAI 2023: 1207-1218 - [i10]Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Gaussian Membership Inference Privacy. CoRR abs/2306.07273 (2023) - [i9]Bardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci:
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. CoRR abs/2308.02353 (2023) - 2022
- [c3]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
A Consistent and Efficient Evaluation Strategy for Attribution Methods. ICML 2022: 18770-18795 - [i8]Yao Rong, Tobias Leemann, Vadim Borisov, Gjergji Kasneci, Enkelejda Kasneci:
Evaluating Feature Attribution: An Information-Theoretic Perspective. CoRR abs/2202.00449 (2022) - [i7]Tobias Leemann, Michael Kirchhof, Yao Rong, Enkelejda Kasneci, Gjergji Kasneci:
Disentangling Embedding Spaces with Minimal Distributional Assumptions. CoRR abs/2206.13872 (2022) - [i6]Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci:
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. CoRR abs/2208.14137 (2022) - [i5]Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci:
Language Models are Realistic Tabular Data Generators. CoRR abs/2210.06280 (2022) - [i4]Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci:
Towards Human-centered Explainable AI: User Studies for Model Explanations. CoRR abs/2210.11584 (2022) - [i3]Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci:
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization. CoRR abs/2210.13954 (2022) - 2021
- [c2]Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann:
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. ESANN 2021 - [c1]Moritz Sackmann, Tobias Leemann, Henrik Bey, Ulrich Hofmann, Jörn Thielecke:
Multi-Step Training for Predicting Roundabout Traffic Situations. ITSC 2021: 1982-1989 - [i2]Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci:
Deep Neural Networks and Tabular Data: A Survey. CoRR abs/2110.01889 (2021) - [i1]Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann:
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling. CoRR abs/2110.02858 (2021)
Coauthor Index
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