About me
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.
You can find more information in my CV.
Publications
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
FAccT 2018
PaperReliable 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 Workshop 2017
PaperPre-Prints
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
2024
PaperPointwise Representational Similarity
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
2023
PaperUnifying Model Explainability and Robustness via Machine-Checkable Concepts
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
2020
Paper