Kevin Swersky

Joined

September 2016

Names

Kevin Swersky (Preferred)

Emails

****@cs.toronto.edu (Confirmed)

****@google.com (Confirmed)

****@gmail.com

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Google Deepmind (google.com)

2016 – 2025

Research Scientist

Twitter (twitter.com)

2015 – 2016

PhD student

Department of Computer Science, University of Toronto (cs.toronto.edu)

2011 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Rich Zemel

2011 – 2017

MSc Advisor

Nando Freitas

2007 – 2010

Expertise

Machine Learning

Present

Publications

Video models are zero-shot learners and reasoners
Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos
- Submitted to ICLR 2026
- Readers: Everyone
A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
Bernd Bohnet, Rumen Dangovski, Kevin Swersky, Sherry Moore, Kathleen Kenealy, Noah Fiedel
- Submitted to ICLR 2026
- Readers: Everyone
SWE-fficiency: Can Language Models Optimize Real-World Repositories on Real Workloads?
Jeffrey Jian Ma, Milad Hashemi, Amir Yazdanbakhsh, Kevin Swersky, Ofir Press, Enhui Li, Vijay Janapa Reddi, Parthasarathy Ranganathan
- Submitted to ICLR 2026
- Readers: Everyone
Pre-trained Gaussian Processes for Bayesian Optimization
Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
- Journal of Machine Learning Research
- Readers: Everyone
Exploring and Benchmarking Planning Capabilities of Large Language Models
Bernd Bohnet, Azade Nova, Aaron T Parisi, Katayoon Goshvadi, Kevin Swersky, Hanjun Dai, Dale Schuurmans, Noah Fiedel, Hanie Sedghi
- Submitted to ICLR 2025
- Readers: Everyone
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, SHIXIN LUO, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani et al. (5 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Jiri Hron, Laura A Culp, Gamaleldin Fathy Elsayed, Rosanne Liu, Jasper Snoek, Simon Kornblith, Alex Rizkowsky, Isabelle Simpson, Jascha Sohl-Dickstein, Noah Fiedel, Aaron T Parisi, Alexander A Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Izzeddin Gur, Jaehoon Lee, John D Co-Reyes et al. (11 additional authors not shown)
- COLM
- Readers: Everyone
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T Parisi, Abhishek Kumar, Alexander A Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch et al. (20 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
- ICLR 2024 poster
- Readers: Everyone
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao
- Accepted by TMLR
- Readers: Everyone

View all 48 publications

Co-Authors

View all 189 co-authors