Mert Yuksekgonul

I'm a second-year PhD student in Computer Science at Stanford University. I am lucky to be advised by James Zou and Carlos Guestrin.

These days I am interested in enabling safer use and a greater understanding of deep learning. I am broadly interested in explaining model behavior through human understandable terms, designing ways to intervene on models, and improving multimodal understanding. I really enjoy thinking about abstraction, concepts, and compositionality in humans and machines.

I was extremely fortunate to have many wonderful mentors in my undergraduate years. I worked with Prof. Mackenzie Mathis, Prof. Alexander Mathis and Prof. Matthias Bethge as part of Bethge Lab(Tübingen/MPI) and Adaptive Motor Control Lab (Harvard/EPFL). My last undergrad research gig was with Dr. Xavier Boix as part of Poggio Lab(MIT) and Sinha Lab(MIT). I started Machine Learning research with Prof. Mustafa Baydogan at Bogazici University.

[ Email  /  Github  /  Twitter  /  Google Scholar ]

profile photo


Selected Publications

bow When and why vision-language models behave like bags-of-words, and what to do about it?
Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
Oral @ ICLR 2023 (Top 5% of all accepted papers)
[ Paper , Code ]
▶ Show Description
pcbm Post-hoc Concept Bottleneck Models
Mert Yuksekgonul, Maggie Wang, James Zou
Spotlight @ ICLR2023 (Top 25% of all accepted papers)
[ Paper, Code ]
▶ Show Description
beyond_confidence Beyond Confidence: Reliable Models Should Also Quantify Atypicality
Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
Contributed Talk @ ICLR 2023 Workshop on Trustworthy Machine Learning
[ Code soon.]
▶ Show Description
plip Leveraging medical Twitter to build a visual–language foundation model for pathology AI
Zhi Huang*, Federico Bianchi*, Mert Yuksekgonul, Thomas Montine, James Zou
Under Review at Nature Medicine
[ Preprint, Demo ]
▶ Show Description
cce Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abubakar Abid*, Mert Yuksekgonul*, James Zou
ICML 2022
[ Paper , Code ]
▶ Show Description

► More Publications

Template from this website.