Matt Benatan

According to our database, Matt Benatan authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Model-agnostic variable importance for predictive uncertainty: an entropy-based approach.

Danny Wood, Theodore Papamarkou, Matt Benatan, Richard Allmendinger

Data Min. Knowl. Discov., November, 2024

An adaptive approach to Bayesian Optimization with switching costs.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

CoRR, 2024

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Bayesian Optimization with Setup Switching Cost.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

SonOpt: understanding the behaviour of bi-objective population-based optimisation algorithms through sound.

Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent

Genet. Program. Evolvable Mach., June, 2023

2022

Expensive optimization with production-graph resource constraints: a first look at a new problem class.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms.

Tasos Asonitis, Richard Allmendinger, Matt Benatan, Ricardo Climent

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2022

Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features.

Sara Summerton, Danny Wood, Darcy Murphy, Oliver C. Redfern, Matt Benatan, Matti Kaisti, David C. Wong

Proceedings of the Computing in Cardiology, 2022

2020

Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence.

Paolo Fraccaro, Matt Benatan, Katharina Reusch, Clyde Fare, Blair Edwards, Edward Pyzer-Knapp

Proceedings of the ICVISP 2020: 4th International Conference on Vision, 2020

2019

Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning.

Matt Benatan, Edward O. Pyzer-Knapp

CoRR, 2019