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  3. 2005.04048
  4. Cited By
Sherpa: Robust Hyperparameter Optimization for Machine Learning

Sherpa: Robust Hyperparameter Optimization for Machine Learning

8 May 2020
L. Hertel
Julian Collado
Peter Sadowski
J. Ott
Pierre Baldi
ArXiv (abs)PDFHTMLGithub (338★)

Papers citing "Sherpa: Robust Hyperparameter Optimization for Machine Learning"

16 / 16 papers shown
Title
Antenna Near-Field Reconstruction from Far-Field Data Using Convolutional Neural Networks
Antenna Near-Field Reconstruction from Far-Field Data Using Convolutional Neural Networks
Sahar Bagherkhani
Jackson Christopher Earls
Franco De Flaviis
Pierre Baldi
41
0
0
23 Apr 2025
Sparse Phased Array Optimization Using Deep Learning
Sparse Phased Array Optimization Using Deep LearningTopical Conference on Antennas and Propagation in Wireless Communications (APWC), 2025
David Lu
Lior Maman
Jackson Earls
Amir Boag
Pierre Baldi
117
0
0
23 Apr 2025
Towards Trustworthy Machine Learning in Production: An Overview of the
  Robustness in MLOps Approach
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps ApproachACM Computing Surveys (ACM CSUR), 2024
Firas Bayram
Bestoun S. Ahmed
OOD
117
8
0
28 Oct 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric ApplicationsArtificial Intelligence for the Earth Systems (AI4ES), 2024
Tom Beucler
Arthur Grundner
Sara Shamekh
Peter Ukkonen
Matthew Chantry
Ryan Lagerquist
181
3
0
04 Aug 2024
A Review and Comparison of AI Enhanced Side Channel Analysis
A Review and Comparison of AI Enhanced Side Channel Analysis
Max Panoff
H. Yu
Haoqi Shan
Yier Jin
AAML
73
19
0
03 Feb 2024
Variational Auto-Encoder Based Deep Learning Technique For Filling Gaps
  in Reacting PIV Data
Variational Auto-Encoder Based Deep Learning Technique For Filling Gaps in Reacting PIV Data
S. Yellapantula
35
0
0
11 Dec 2023
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics
  at NOvA with Sparse CNNs and Transformers
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers
Alexander Shmakov
A. Yankelevich
Jianming Bian
Pierre Baldi
BDLViT
90
2
0
10 Mar 2023
Deep Learning Models of the Discrete Component of the Galactic
  Interstellar Gamma-Ray Emission
Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission
Alexander Shmakov
Mohammadamin Tavakoli
Pierre Baldi
C. Karwin
Alex Broughton
S. Murgia
39
1
0
06 Jun 2022
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction
  Representation
Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation
Mohammadamin Tavakoli
Alexander Shmakov
Francesco Ceccarelli
Pierre Baldi
GNN
130
10
0
02 Jan 2022
Deep Learning Based Cloud Cover Parameterization for ICON
Deep Learning Based Cloud Cover Parameterization for ICONJournal of Advances in Modeling Earth Systems (JAMES), 2021
Arthur Grundner
Tom Beucler
Pierre Gentine
Fernando Iglesias‐Suarez
M. Giorgetta
Veronika Eyring
144
31
0
21 Dec 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Katharina Eggensperger
318
116
0
14 Sep 2021
SPANet: Generalized Permutationless Set Assignment for Particle Physics
  using Symmetry Preserving Attention
SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving AttentionSciPost Physics (SciPost Phys.), 2021
Alexander Shmakov
M. Fenton
Ta-Wei Ho
Shih-Chieh Hsu
D. Whiteson
Pierre Baldi
127
35
0
07 Jun 2021
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep
  Convolutional Neural Networks
Detecting Pulmonary Coccidioidomycosis (Valley fever) with Deep Convolutional Neural Networks
J. Ott
D. Bruyette
Cody L. Arbuckle
Dylan Balsz
S. Hecht
L. Shubitz
Pierre Baldi
MedIm
92
0
0
30 Jan 2021
Deep-Learning-Based Kinematic Reconstruction for DUNE
Deep-Learning-Based Kinematic Reconstruction for DUNE
Junze Liu
J. Ott
Julian Collado
B. Jargowsky
Wenjie Wu
J. Bian
Pierre Baldi
64
12
0
11 Dec 2020
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving
  Attention Networks
Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
M. Fenton
Alexander Shmakov
Ta-Wei Ho
S. Hsu
D. Whiteson
Pierre Baldi
196
41
0
19 Oct 2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing
A Fortran-Keras Deep Learning Bridge for Scientific ComputingScientific Programming (SP), 2020
J. Ott
M. Pritchard
Natalie Best
Erik J. Linstead
M. Curcic
Pierre Baldi
AI4CE
139
104
0
14 Apr 2020
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