Matt Benatan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Switching Costs

Optimization Problems

Top Venues

GECCO Companion

Publications

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
An adaptive approach to Bayesian Optimization with switching costs. CoRR (2024)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles
Bayesian Optimization with Setup Switching Cost. GECCO Companion (2024)
Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach. CoRR (2023)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound. Genet. Program. Evolvable Mach. 24 (1) (2023)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Understanding the behaviour of bi-objective population-based optimisation algorithms through sound. GECCO Companion (2023)
Sara Summerton, Danny Wood, Darcy Murphy, Oliver C. Redfern, Matt Benatan, Matti Kaisti, David C. Wong
Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features. CinC (2022)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. EvoMUSART (2022)
Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua Knowles
Expensive optimization with production-graph resource constraints: a first look at a new problem class. GECCO (2022)
Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms. CoRR (2022)
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)
Matt Benatan, Edward O. Pyzer-Knapp
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning. CoRR (2019)