Victor Veitch
Scholar

Victor Veitch

Google Scholar ID: xkn_XZgAAAAJ
University of Chicago, Google
Artificial IntelligenceMachine LearningCausalityStatistics
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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
Emailvictorveitch@gmail.com
Publications
9 items
Anchor Divergence for Semantic Geometry in Contrastive Learning
2026
Cited
0
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
2026
Cited
0
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
Resume
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
13 total
David Blei
David Blei
Professor of Statistics and Computer Science, Columbia University
Jacob Eisenstein
Jacob Eisenstein
Google Research
Christopher Ferrie
Christopher Ferrie
University of Technology Sydney
Alexander D'Amour
Alexander D'Amour
Research Scientist, Google DeepMind
Kiho Park
Kiho Park
University of Chicago
Roi Reichart
Roi Reichart
Professor of Artificial Intelligence, Technion - Israel Institute of Technology
Amir Feder
Amir Feder
Hebrew University, Google
Emaad Manzoor
Emaad Manzoor
Assistant Professor of Marketing, Cornell University