Till Speicher

According to our database, Till Speicher authored at least 11 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Understanding the Role of Invariance in Transfer Learning.

Till Speicher, Vedant Nanda, Krishna P. Gummadi

Trans. Mach. Learn. Res., 2024

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.

Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

2023

Pointwise Representational Similarity.

Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi

CoRR, 2023

Diffused Redundancy in Pre-trained Representations.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Soheil Feizi, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Measuring Representational Robustness of Neural Networks Through Shared Invariances.

Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller

Proceedings of the International Conference on Machine Learning, 2022

2020

Unifying Model Explainability and Robustness via Machine-Checkable Concepts.

Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, 2020

2018

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices.

Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Potential for Discrimination in Online Targeted Advertising.

Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2014

A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser Ney Smoothing.

Rene Pickhardt, Thomas Gottron, Martin Körner, Paul Georg Wagner, Till Speicher, Steffen Staab

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014