I am a final-year PhD student at MPI-SWS, Germany, advised by Krishna Gummadi.
My current research focus is on understanding the properties of representations in deep neural networks. Previously, I have worked on topics related to fairness in algorithmic decision making.
I obtained a Bachelor's degree in Computer Science from Saarland University.
In my free time, I am active as a triathlete.
Measuring Representational Robustness of Neural Networks Through Shared Invariances
Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller
ICML 2022, accepted as oral presentationPaper
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
KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018Paper
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
Conference on Fairness, Accountability, and Transparency - FAccT 2018Paper
Reliable Learning by Subsuming a Trusted Model: Safe Exploration of the Space of Complex Models
Till Speicher, Muhammad Bilal Zafar, Krishna P. Gummadi, Adish Singla, Adrian Weller
Reliable Machine Learning in the Wild - ICML 2017 WorkshopPaper
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