Greg Benton

According to our database, Greg Benton authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Building Process Mining Dashboards Manually or AI-assisted with Celonis Views.

Carolin Ullrich, Teodora Lata, Greg Benton

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

2023

Function Space Reasoning in Gaussian Processes and Neural Networks

Greg Benton

PhD thesis, 2023

2022

Bayesian Model Selection, the Marginal Likelihood, and Generalization.

Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson

Proceedings of the International Conference on Machine Learning, 2022

Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes.

Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson

Proceedings of the International Conference on Machine Learning, 2022

2021

Residual Pathway Priors for Soft Equivariance Constraints.

Marc Finzi, Greg Benton, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling.

Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning Invariances in Neural Networks.

Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson

CoRR, 2020

Trajectory Based Podcast Recommendation.

Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette

CoRR, 2020

Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited.

Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson

CoRR, 2020

Learning Invariances in Neural Networks from Training Data.

Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Function-Space Distributions over Kernels.

Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019