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ORCIDGreg Benton
Person information
- affiliation: Celonis, New York, NY, USA
- affiliation (former): New York University, NY, USA
- affiliation (PhD 2023): New York University, NY, USA
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2020 – today
- 2024
[c7]Carolin Ullrich, Teodora Lata, Greg Benton:
Building Process Mining Dashboards Manually or AI-assisted with Celonis Views. ICPM Doctoral Consortium / Demo 2024- 2023
- [b1]Greg Benton:
Function Space Reasoning in Gaussian Processes and Neural Networks. New York University, USA, 2023 - 2022
- [c6]Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson:
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes. ICML 2022: 1798-1816 - [c5]Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson:
Bayesian Model Selection, the Marginal Likelihood, and Generalization. ICML 2022: 14223-14247 - [i8]Sanae Lotfi, Pavel Izmailov, Gregory W. Benton, Micah Goldblum, Andrew Gordon Wilson:
Bayesian Model Selection, the Marginal Likelihood, and Generalization. CoRR abs/2202.11678 (2022) - [i7]Gregory W. Benton, Wesley J. Maddox, Andrew Gordon Wilson:
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes. CoRR abs/2207.06544 (2022) - 2021
- [c4]Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson:
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling. ICML 2021: 769-779 - [c3]Marc Finzi, Greg Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. NeurIPS 2021: 30037-30049 - [i6]Gregory W. Benton, Wesley J. Maddox, Sanae Lotfi, Andrew Gordon Wilson:
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling. CoRR abs/2102.13042 (2021) - [i5]Marc Finzi, Gregory W. Benton, Andrew Gordon Wilson:
Residual Pathway Priors for Soft Equivariance Constraints. CoRR abs/2112.01388 (2021) - 2020
- [c2]Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Learning Invariances in Neural Networks from Training Data. NeurIPS 2020 - [i4]Wesley J. Maddox, Gregory W. Benton, Andrew Gordon Wilson:
Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited. CoRR abs/2003.02139 (2020) - [i3]Greg Benton, Ghazal Fazelnia, Alice Wang, Ben Carterette:
Trajectory Based Podcast Recommendation. CoRR abs/2009.03859 (2020) - [i2]Gregory W. Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson:
Learning Invariances in Neural Networks. CoRR abs/2010.11882 (2020)
2010 – 2019
- 2019
- [c1]Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson:
Function-Space Distributions over Kernels. NeurIPS 2019: 14939-14950 - [i1]Gregory W. Benton, Wesley J. Maddox, Jayson P. Salkey, Julio Albinati, Andrew Gordon Wilson:
Function-Space Distributions over Kernels. CoRR abs/1910.13565 (2019)
Coauthor Index
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