Παρακολούθηση
Tobias Leemann
Tobias Leemann
PhD student, University of Tübingen
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uni-tuebingen.de - Αρχική σελίδα
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Deep neural networks and tabular data: A survey
V Borisov, T Leemann, K Seßler, J Haug, M Pawelczyk, G Kasneci
IEEE transactions on neural networks and learning systems, 2022
8962022
Language models are realistic tabular data generators
V Borisov, K Seßler, T Leemann, M Pawelczyk, G Kasneci
International Conference on Learning Representations (ICLR), 2023
2112023
Towards human-centered explainable ai: A survey of user studies for model explanations
Y Rong, T Leemann, TT Nguyen, L Fiedler, P Qian, V Unhelkar, T Seidel, ...
IEEE transactions on pattern analysis and machine intelligence, 2023
124*2023
A consistent and efficient evaluation strategy for attribution methods
Y Rong*, T Leemann*, V Borisov, G Kasneci, E Kasneci
International Conference on Machine Learning (ICML), 2022
1162022
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
M Pawelczyk, T Leemann, A Biega, G Kasneci
International Conference on Learning Representations (ICLR), 2023
182023
When are post-hoc conceptual explanations identifiable?
T Leemann, M Kirchhof, Y Rong, E Kasneci, G Kasneci
Uncertainty in Artificial Intelligence, 1207-1218, 2023
16*2023
Gaussian Membership Inference Privacy
T Leemann, M Pawelczyk, G Kasneci
Advances in Neural Information Processing Systems (NeurIPS), 2023
152023
Multi-step training for predicting roundabout traffic situations
M Sackmann, T Leemann, H Bey, U Hofmann, J Thielecke
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
92021
Coherence evaluation of visual concepts with objects and language
T Leemann, Y Rong, S Kraft, E Kasneci, G Kasneci
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
42022
Is My Data Safe? Predicting Instance-Level Membership Inference Success for White-box and Black-box Attacks
T Leemann, B Prenkaj, G Kasneci
ICML 2024 Next Generation of AI Safety Workshop, 2024
32024
Caution to the Exemplars: On the Intriguing Effects of Example Choice on Human Trust in XAI
T Leemann, Y Rong, TT Nguyen, E Kasneci, G Kasneci
XAI in Action: Past, Present, and Future Applications, 2023
32023
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes
B Prenkaj, M Villaizan-Vallelado, T Leemann, G Kasneci
arXiv preprint arXiv:2308.02353, 2023
32023
Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling
T Leemann, M Sackmann, J Thielecke, U Hofmann
29th European Symposium on Artificial Neural Networks, Computational …, 2021
32021
I Prefer not to Say: Operationalizing Fair and User-guided Data Minimization.
T Leemann, M Pawelczyk, CT Eberle, G Kasneci
arXiv preprint arXiv:2210.13954, 2022
22022
The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
M Schirmer, T Leemann, G Kasneci, J Pfeffer, D Jurgens
EMNLP 2024 Findings, 2024
12024
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
T Leemann, A Fastowski, F Pfeiffer, G Kasneci
arXiv preprint arXiv:2405.13536, 2024
12024
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
T Leemann, M Pawelczyk, CT Eberle, G Kasneci
AAAI Conference on Artificial Intelligence (AAAI-24), 2024
12024
4.5 Study 5: The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI
M Schirmer, T Leemann, G Kasneci, J Pfeffer, D Jurgens
Natural Language Processing for Violence Studies: Investigating Trauma and …, 2024
2024
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation
T Leemann, P Petridis, G Vietri, D Manousakas, A Roth, S Aydore
arXiv preprint arXiv:2410.03461, 2024
2024
Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph Counterfactuals
B Prenkaj, M Villaizán-Vallelado, T Leemann, G Kasneci
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
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