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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
3362018
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
2532018
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
Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction
Q Wu, MA Khan, S Das, V Nanda, B Ghosh, C Kolling, T Speicher, ...
arXiv preprint arXiv:2404.12957, 2024
42024
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
32022
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, ...
12024
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
12020
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
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
T Speicher, MA Khan, Q Wu, V Nanda, S Das, B Ghosh, KP Gummadi, ...
arXiv preprint arXiv:2407.19262, 2024
2024
Understanding the Role of Invariance in Transfer Learning
T Speicher, V Nanda, KP Gummadi
arXiv preprint arXiv:2407.04325, 2024
2024
Pointwise Representational Similarity
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
arXiv preprint arXiv:2305.19294, 2023
2023
Exploring Pointwise Similarity of Representations
C Kolling, T Speicher, V Nanda, M Toneva, KP Gummadi
Learned Neural Network Representations are Spread Diffusely with Redundancy
V Nanda, T Speicher, JP Dickerson, S Feizi, K Gummadi, A Weller
Invariance Makes a Difference: Disentangling the Role of Invariance and Equivariance in Representations
T Speicher, V Nanda, KP Gummadi
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