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Matt Benatan
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2020 – today
- 2024
- [j2]Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger:
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. Data Min. Knowl. Discov. 38(6): 4184-4216 (2024) - [c7]Stefan Pricopie
, Richard Allmendinger
Bayesian Optimization with Setup Switching Cost. GECCO Companion 2024: 103-104 - [c6]Stefan Pricopie
An Adaptive Approach to Bayesian Optimization with Setup Switching Costs. PPSN (2) 2024: 340-355 - [i4]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
An adaptive approach to Bayesian Optimization with switching costs. CoRR abs/2405.08973 (2024) - 2023
- [j1]Tasos Asonitis
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. 24(1): 3 (2023) - [c5]Tasos Asonitis
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion 2023: 13-14 - [i3]Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger:
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR abs/2310.12842 (2023) - 2022
- [c4]Sara Summerton, Danny Wood, Darcy Murphy, Oliver C. Redfern, Matt Benatan, Matti Kaisti
Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features. CinC 2022: 1-4 - [c3]Tasos Asonitis
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART 2022: 3-18 - [c2]Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles:
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO 2022: 840-848 - [i2]Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent:
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR abs/2202.12187 (2022) - 2020
- [c1]Paolo Fraccaro, Matt Benatan, Katharina Reusch, Clyde Fare, Blair Edwards, Edward Pyzer-Knapp:
Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence. ICVISP 2020: 49:1-49:5
2010 – 2019
- 2019
- [i1]Matt Benatan, Edward O. Pyzer-Knapp:
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning. CoRR abs/1911.03308 (2019)
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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