Scholar
Victor Veitch
Google Scholar ID: xkn_XZgAAAAJ
University of Chicago, Google
Artificial Intelligence
Machine Learning
Causality
Statistics
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Citations & Impact
All-time
Citations
5,028
H-index
25
i10-index
35
Publications
20
Co-authors
75
list available
Contact
Email
victorveitch@gmail.com
Publications
7 items
The Information Geometry of Softmax: Probing and Steering
2026
Cited
0
Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
2025
Cited
0
Chasing the Tail: Effective Rubric-based Reward Modeling for Large Language Model Post-Training
2025
Cited
0
Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
2025
Cited
0
Does Editing Provide Evidence for Localization?
2025
Cited
2
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
2024
Cited
0
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
arXiv.org · 2024
Cited
9
Resume (English only)
Research Experience
Assistant Professor of Data Science and Statistics at the University of Chicago and a (part time) research scientist at Google DeepMind.
Background
A machine learning researcher. Current research interests lie in the development of safe artificial intelligence and (causal) representation learning.
Co-authors
75 total
Co-author 1
David Blei
Professor of Statistics and Computer Science, Columbia University
Co-author 3
Jacob Eisenstein
Google Research
Christopher Ferrie
University of Technology Sydney
Co-author 6
Co-author 7
Alexander D'Amour
Research Scientist, Google DeepMind
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