Ben Adlam

Research Scientist, Google

Joined

September 2019

Names

Ben Adlam (Preferred)

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Research Scientist

Google (google.com)

2020 – Present

AI Resident

Google (google.com)

2018 – 2020

PhD student

Harvard University (harvard.edu)

2013 – 2018

Undergrad student

Harvard University (harvard.edu)

2009 – 2013

Advisors, Relations & Conflicts

PhD Advisor

Martin Nowak

2013 – 2018

Expertise

Deep learning theory

2019 – 2020

Gaussian processes

2019 – 2020

Publications

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
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter J Liu, Lechao Xiao, Katie E Everett, Alexander A Alemi, Ben Adlam, John D Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
- ICLR 2024 oral
- Readers: Everyone
Kernel Regression with Infinite-Width Neural Networks on Millions of Examples
Ben Adlam, Jaehoon Lee, Shreyas Padhy, Zachary Nado, Jasper Snoek
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Ensembles of Classifiers: a Bias-Variance Perspective
Neha Gupta, Jamie Smith, Ben Adlam, Zelda E Mariet
- Accepted by TMLR
- Readers: Everyone
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions
Courtney Paquette, Elliot Paquette, Ben Adlam, Jeffrey Pennington
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
Finite Versus Infinite Neural Networks: an Empirical Study
Jaehoon Lee, Samuel Stern Schoenholz, Jeffrey Pennington, Ben Adlam, Lechao Xiao, Roman Novak, Jascha Sohl-Dickstein
- 13 May 2021 (modified: 13 May 2021)
- OpenReview Archive Direct Upload
- Readers: Everyone
Dynamics of COVID-19 under social distancing measures are driven by transmission network structure
Anjalika Nande, Ben Adlam, Justin Sheen, Michael Z. Levy, Alison L. Hill
- 2021 (modified: 24 Feb 2022)
- PLoS Comput. Biol. 2021
- Readers: Everyone
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit
Ben Adlam, Jaehoon Lee, Lechao Xiao, Jeffrey Pennington, Jasper Snoek
- 2021 (modified: 24 Feb 2022)
- ICLR 2021
- Readers: Everyone

View all 29 publications

Co-Authors

View all 115 co-authors