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Till Speicher
Till Speicher
PhD student, Planck Institute for Software Systems (MPI-SWS)
Verified email at mpi-sws.org - Homepage
Title
Cited by
Cited by
Year
A unified approach to quantifying algorithmic unfairness: Measuring individual &group unfairness via inequality indices
T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller, ...
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
2902018
Potential for discrimination in online targeted advertising
T Speicher, M Ali, G Venkatadri, FN Ribeiro, G Arvanitakis, F Benevenuto, ...
Conference on fairness, accountability and transparency, 5-19, 2018
2172018
A generalized language model as the combination of skipped n-grams and modified Kneser-Ney smoothing
R Pickhardt, T Gottron, M Körner, PG Wagner, T Speicher, S Staab
arXiv preprint arXiv:1404.3377, 2014
372014
Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining
T Speicher, H Heidari, N Grgic-Hlaca, KP Gummadi, A Singla, A Weller
ACM, New York, 2018
82018
Measuring representational robustness of neural networks through shared invariances
V Nanda, T Speicher, C Kolling, JP Dickerson, K Gummadi, A Weller
International Conference on Machine Learning, 16368-16382, 2022
42022
Diffused Redundancy in Pre-trained Representations
V Nanda, T Speicher, J Dickerson, K Gummadi, S Feizi, A Weller
Advances in Neural Information Processing Systems 36, 2024
12024
Understanding the Mechanics and Dynamics of Memorisation in Large Language Models: A Case Study with Random Strings
T Speicher, AM Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ...
12023
Reliable learning by subsuming a trusted model: Safe exploration of the space of complex models
T Speicher, MB Zafar, KP Gummadi, A Singla, A Weller
Proc. Int. Conf. Mach. Learn. Workshop (ICML), 1-5, 2017
12017
Exploring Pointwise Similarity of Representations
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
2023
Pointwise Representational Similarity
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
arXiv preprint arXiv:2305.19294, 2023
2023
Learned Neural Network Representations are Spread Diffusely with Redundancy
V Nanda, T Speicher, JP Dickerson, S Feizi, K Gummadi, A Weller
2022
Invariance Makes a Difference: Disentangling the Role of Invariance and Equivariance in Representations
T Speicher, V Nanda, KP Gummadi
2022
Unifying Model Explainability and Robustness via Machine-Checkable Concepts
V Nanda, T Speicher, JP Dickerson, KP Gummadi, MB Zafar
arXiv preprint arXiv:2007.00251, 2020
2020
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