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Anzahl der Einträge: 10.

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Tschalzev, Andrej

; Stuckenschmidt, Heiner

(2024) Explaining neural networks without access to training data.

Machine Learning Dordrecht [u.a.] 113 6 3633-3652 [Zeitschriftenartikel]

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner

GradTree: Learning axis-aligned decision trees with gradient descent. Wooldridge, Michael ; Dy, Jennifer ; Natarajan, Sriraam 38, No. 13 14323-14331 In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (2024) Washington, DC The 38th Annual AAAI Conference on Artificial Intelligence (Vancouver, Canada) [Konferenzveröffentlichung]

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner

GRANDE: Gradient-Based Decision Tree Ensembles for tabular data. 1-27 In: International Conference on Learning Representations (2024) TheTwelfth International Conference on Learning Representations, ICLR 2024 (Wien, Austria) [Konferenzveröffentlichung]

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner

GradTree: Learning axis-aligned decision trees with gradient descent.

(2024) The 38th Annual AAAI Conference on Artificial Intelligence (Vancouver, Canada) [Präsentation auf Konferenz]

Tschalzev, Andrej

; Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner

A data-centric perspective on evaluating machine learning models for tabular data. 1-35 In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024) Vancouver, BC NeurIPS 2024 (Vancouver, Canada) [Konferenzveröffentlichung]

Umlauft, Josefine ; Johnson, Christopher W. ; Roux, Philippe ; Trugman, Daniel Taylor ; Lecointre, Albanne ; Walpersdorf, Andrea ; Nanni, Ugo ; Gimbert, Florent ; Rouet-Leduc, Bertrand ; Hulbert, Claudia ; Lüdtke, Stefan ; Marton, Sascha

; Johnson, Paul A. (2023) Mapping glacier basal sliding applying machine learning.

Journal of geophysical research : JGR. F, Earth surface Washington, DC ; Hoboken, NJ 128 11, article e2023JF007280 1-20 [Zeitschriftenartikel]

Ernst, Jasmina S. ; Marton, Sascha

; Brinkmann, Jannik ; Vellasques, Eduardo ; Foucard, Damien ; Kraemer, Martin ; Lambert, Marian Bias mitigation for large language models using adversarial learning.

Calegari, Roberta ; Tubella, Andrea Aler ; González Castañe, Gabriel ; Dignum, Virginia ; Milano, Michaela CEUR Workshop Proceedings 3523 1-14 In: Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023),Kraków, Poland, October 1st, 2023 (2023) Aachen, Germany 1st Workshop on Fairness and Bias in AI (Kraków, Poland) [Konferenzveröffentlichung]

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian ; Stuckenschmidt, Heiner

GradTree: Learning axis-aligned decision trees with gradient descent. 1-17 (2023) New Orleans NeurIPS 2023, Second Table Representation Learning Workshop (New Orleans, LA) [Konferenzveröffentlichung]

Marton, Sascha

; Lüdtke, Stefan ; Bartelt, Christian (2022) Explanations for neural networks by neural networks.

Applied Sciences Basel 12 Article 980 1-14 [Zeitschriftenartikel]

Marton, Sascha

; Bartelt, Christian ; Stuckenschmidt, Heiner

Machine learning for converting Black-Box models to interpretable functions. (2020) PhD Forum, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2020 (Online) [Präsentation auf Konferenz]

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