Matt Benatan

13 papers A 1C 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
An Adaptive Approach to Bayesian Optimization with Setup Switching Costs.
PPSN (2)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024 J jnl
An adaptive approach to Bayesian Optimization with switching costs.
CoRR
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024 — conf
Bayesian Optimization with Setup Switching Cost.
GECCO Companion
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2024 J jnl
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach.
Data Min. Knowl. Discov.
Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
2023 J jnl
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach.
CoRR
Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
2023 — conf
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound.
GECCO Companion
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2023 J jnl
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound.
Genet. Program. Evolvable Mach.
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2022 A conf
Expensive optimization with production-graph resource constraints: a first look at a new problem class.
GECCO
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
2022 C conf
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms.
EvoMUSART
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2022 J jnl
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms.
CoRR
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
2022 — conf
Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features.
CinC
Sara Summerton, Danny Wood, Darcy Murphy, Oliver C. Redfern, Matt Benatan, Matti Kaisti, David C. Wong
2020 — conf
Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence.
ICVISP
Paolo Fraccaro, Matt Benatan, Katharina Reusch, Clyde Fare, Blair Edwards, Edward Pyzer-Knapp
2019 J jnl
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning.
CoRR
Matt Benatan, Edward O. Pyzer-Knapp