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Maximizing information from chemical engineering data sets: Applications
  to machine learning

Maximizing information from chemical engineering data sets: Applications to machine learning

25 January 2022
Alexander Thebelt
Johannes Wiebe
Jan Kronqvist
Calvin Tsay
Ruth Misener
    AI4CE
ArXivPDFHTML

Papers citing "Maximizing information from chemical engineering data sets: Applications to machine learning"

10 / 10 papers shown
Title
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
Efficient Training of Physics-enhanced Neural ODEs via Direct Collocation and Nonlinear Programming
Linus Langenkamp
Philip Hannebohm
Bernhard Bachmann
36
0
0
06 May 2025
Training Neural ODEs Using Fully Discretized Simultaneous Optimization
Training Neural ODEs Using Fully Discretized Simultaneous Optimization
Mariia Shapovalova
Calvin Tsay
29
2
0
24 Feb 2025
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
Jixiang Qing
Becky D Langdon
Robert M. Lee
B. Shafei
Mark van der Wilk
Calvin Tsay
Ruth Misener
32
1
0
04 Jun 2024
Transition Constrained Bayesian Optimization via Markov Decision
  Processes
Transition Constrained Bayesian Optimization via Markov Decision Processes
Jose Pablo Folch
Calvin Tsay
Robert M. Lee
B. Shafei
Weronika Ormaniec
Andreas Krause
Mark van der Wilk
Ruth Misener
Mojmír Mutný
54
3
0
13 Feb 2024
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling:
  Improving Dissolved Oxygen Concentration Prediction in an Industrial
  Wastewater Treatment Plant
A Hybrid Approach of Transfer Learning and Physics-Informed Modeling: Improving Dissolved Oxygen Concentration Prediction in an Industrial Wastewater Treatment Plant
Ece S. Koksal
Erdal Aydin
PINN
AI4CE
23
0
0
20 Jan 2024
Physics Informed Piecewise Linear Neural Networks for Process
  Optimization
Physics Informed Piecewise Linear Neural Networks for Process Optimization
Ece S. Koksal
E. Aydın
PINN
22
11
0
02 Feb 2023
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
36
23
0
11 Nov 2022
Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCV
BDL
35
10
0
02 Jul 2022
OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning Toolkit
Francesco Ceccon
Jordan Jalving
Joshua Haddad
Alexander Thebelt
Calvin Tsay
C. Laird
Ruth Misener
34
69
0
04 Feb 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
SnAKe: Bayesian Optimization with Pathwise Exploration
Jose Pablo Folch
Shiqiang Zhang
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
25
19
0
31 Jan 2022
1