Neil Thompson

According to our database, Neil Thompson authored at least 23 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Impact of Approximation on Algorithmic Progress.

Jeffery Li, Jayson Lynch, Liva Olina, Cecilia Chen, Andrew Lucas, Neil Thompson

CoRR, May, 2026

Crashing Waves vs. Rising Tides: Preliminary Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks.

Matthias Mertens, Adam Kuzee, Brittany S. Harris, Harry Lyu, Wensu Li, Jonathan Rosenfeld, Meiri Anto, Martin Fleming, Neil Thompson

CoRR, April, 2026

Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?

Wensu Li, Atin Aboutorabi, Harry Lyu, Kaizhi Qian, Martin Fleming, Brian C. Goehring, Neil Thompson

CoRR, March, 2026

Is there "Secret Sauce" in Large Language Model Development?

Matthias Mertens, Natalia Fischl-Lanzoni, Neil Thompson

CoRR, February, 2026

How Much Progress Has There Been in NVIDIA Datacenter GPUs?

Emanuele Del Sozzo, Martin Fleming, Kenneth Flamm, Neil Thompson

CoRR, January, 2026

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence.

Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk, James Dao, Soroush Pour, Stephen Casper, Neil Thompson

Patterns, 2026

2025

Mapping AI Risk Mitigations: Evidence Scan and Preliminary AI Risk Mitigation Taxonomy.

Alexander K. Saeri, Sophia Lloyd George, Jess Graham, Clelia D. Lacarriere, Peter Slattery, Michael Noetel, Neil Thompson

CoRR, December, 2025

The Price of Progress: Algorithmic Efficiency and the Falling Cost of AI Inference.

Hans Gundlach, Jayson Lynch, Matthias Mertens, Neil Thompson

CoRR, November, 2025

How fast are algorithms reducing the demands on memory? A survey of progress in space complexity.

Hayden Rome, Jayson Lynch, Jeffery Li, Chirag Falor, Neil Thompson

CoRR, November, 2025

Quantum Deep Learning Still Needs a Quantum Leap.

Hans Gundlach, Hrvoje Kukina, Jayson Lynch, Neil Thompson

CoRR, November, 2025

Meek Models Shall Inherit the Earth.

Hans Gundlach, Jayson Lynch, Neil Thompson

CoRR, July, 2025

Introducing the Quantum Economic Advantage Online Calculator.

Frederick Mejia, Hans Gundlach, Jayson Lynch, Carl Dukatz, Andrew Lucas, Eleanor Crane, Prashant Shukla, Neil Thompson

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Advantage in Computational Chemistry?

Hans Gundlach, Keeper Sharkey, Jayson Lynch, Victoria Hazoglou, Kung-Chuan Hsu, Carl Dukatz, Eleanor Crane, Karin Walczyk, Marcin Bodziak, Johannes Galatsanos-Dueck, Neil Thompson

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024

The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence.

Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy, Jess Graham, Michael Noetel, Risto Uuk, James Dao, Soroush Pour, Stephen Casper, Neil Thompson

CoRR, 2024

Neural Scaling Laws for Embodied AI.

Sebastian Sartor, Neil Thompson

CoRR, 2024

The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?

Tamay Besiroglu, Sage Andrus Bergerson, Amelia Michael, Lennart Heim, Xueyun Luo, Neil Thompson

CoRR, 2024

Algorithmic progress in language models.

Anson Ho, Tamay Besiroglu, Ege Erdil, Zifan Carl Guo, David Owen, Robi Rahman, David Atkinson, Neil Thompson, Jaime Sevilla

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning.

Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Large Language Model Routing with Benchmark Datasets.

Tal Shnitzer, Anthony Ou, Mírian Silva, Kate Soule, Yuekai Sun, Justin Solomon, Neil Thompson, Mikhail Yurochkin

CoRR, 2023

The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.

Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, Sara Hooker

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The effect of in-person conferences on the diffusion of ideas.

Misha Teplitskiy, Soya Park, Neil Thompson, David R. Karger

CoRR, 2022

2008

The Keystone to Support a Generic Test Process: Separating the "What" from the "How".

Mike Smith, Neil Thompson

Proceedings of the First International Conference on Software Testing Verification and Validation, 2008

2003

Book Reviews.

Neil Thompson

Softw. Test. Verification Reliab., 2003