A Guide to Bayesian Optimization in Bioprocess Engineering | Paper Citation Record

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This paper cites Adams, and Nando de Freitas.

A Guide to Bayesian Optimization in Bioprocess Engineering Adams, and Nando de Freitas

Reference 1

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This paper cites A versatile stochastic model of a function of unknown and time varying form.

A Guide to Bayesian Optimization in Bioprocess Engineering A versatile stochastic model of a function of unknown and time varying form

Reference 2

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A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 3

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A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 4

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This paper cites Principles of geostatistics.

A Guide to Bayesian Optimization in Bioprocess Engineering Principles of geostatistics

Reference 5

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This paper cites S altenis.

A Guide to Bayesian Optimization in Bioprocess Engineering S altenis

Reference 6

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This paper cites Mo c kus.

A Guide to Bayesian Optimization in Bioprocess Engineering Mo c kus

Reference 7

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This paper cites Bayesian Approach to Global Optimization : Theory and Applications , volume 37 of Mathematics and Its Applications.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian Approach to Global Optimization : Theory and Applications , volume 37 of Mathematics and Its Applications

Reference 8

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This paper cites Jones, Matthias Schonlau, and William J.

A Guide to Bayesian Optimization in Bioprocess Engineering Jones, Matthias Schonlau, and William J

Reference 9

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This paper cites Practical Bayesian Optimization of Machine Learning Algorithms.

A Guide to Bayesian Optimization in Bioprocess Engineering Practical Bayesian Optimization of Machine Learning Algorithms

Reference 10

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This paper cites Frazier and Jialei Wang.

A Guide to Bayesian Optimization in Bioprocess Engineering Frazier and Jialei Wang

Reference 11

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This paper cites Bayesian optimisation for Intelligent Environmental Monitoring.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian optimisation for Intelligent Environmental Monitoring

Reference 12

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This paper cites Negoescu, Peter I.

A Guide to Bayesian Optimization in Bioprocess Engineering Negoescu, Peter I

Reference 13

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This paper cites Simon, and Janardhan Rao Doppa.

A Guide to Bayesian Optimization in Bioprocess Engineering Simon, and Janardhan Rao Doppa

Reference 14

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This paper cites Eisner, Corinne Carpenter, Weike Sun, Gregory C.

A Guide to Bayesian Optimization in Bioprocess Engineering Eisner, Corinne Carpenter, Weike Sun, Gregory C

Reference 15

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A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 16

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This paper cites Shields, Jason Stevens, Jun Li, Marvin Parasram, Farhan Damani, Jesus I.

A Guide to Bayesian Optimization in Bioprocess Engineering Shields, Jason Stevens, Jun Li, Marvin Parasram, Farhan Damani, Jesus I

Reference 17

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This paper cites Taylor, Kobi C.

A Guide to Bayesian Optimization in Bioprocess Engineering Taylor, Kobi C

Reference 18

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This paper cites Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics.

A Guide to Bayesian Optimization in Bioprocess Engineering Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics

Reference 19

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This paper cites Matar, and Ehecatl Antonio del Rio Chanona.

A Guide to Bayesian Optimization in Bioprocess Engineering Matar, and Ehecatl Antonio del Rio Chanona

Reference 20

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This paper cites Ruberg, Francois Beckers, Rob Hemmings, Peter Honig, Telba Irony, Lisa LaVange, Grazyna Lieberman, James Mayne, and Richard Moscicki.

A Guide to Bayesian Optimization in Bioprocess Engineering Ruberg, Francois Beckers, Rob Hemmings, Peter Honig, Telba Irony, Lisa LaVange, Grazyna Lieberman, James Mayne, and Richard Moscicki

Reference 21

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Observation b5044ec5-2934-4b80-9aef-8b1865a4d502 · outbound

This paper cites Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments.

A Guide to Bayesian Optimization in Bioprocess Engineering Protein engineering via Bayesian optimization-guided evolutionary algorithm and robotic experiments

Reference 22

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Observation ade8672c-21d5-416b-af06-27071cf7f03e · outbound

This paper cites High-throughput screening of catalytically active inclusion bodies using laboratory automation and Bayesian optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering High-throughput screening of catalytically active inclusion bodies using laboratory automation and Bayesian optimization

Reference 23

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Observation 3541cec2-1582-47a0-b6b2-94c815a2da5f · outbound

This paper cites Framework for Kriging -based iterative experimental analysis and design: Optimization of secretory protein production in Corynebacterium glutamicum.

A Guide to Bayesian Optimization in Bioprocess Engineering Framework for Kriging -based iterative experimental analysis and design: Optimization of secretory protein production in Corynebacterium glutamicum

Reference 24

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This paper cites an unresolved cited work.

A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 25

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This paper cites High throughput optimization of medium composition for Escherichia coli protein expression using deep learning and Bayesian optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering High throughput optimization of medium composition for Escherichia coli protein expression using deep learning and Bayesian optimization

Reference 26

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This paper cites Hinckley, Rachel Barry, Brendan Dang, Lenna A.

A Guide to Bayesian Optimization in Bioprocess Engineering Hinckley, Rachel Barry, Brendan Dang, Lenna A

Reference 27

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Observation d369a2b8-5b6e-47db-bbc9-2d7f3162d4db · outbound

This paper cites Avoiding Replicates in Biocatalysis Experiments : Machine Learning for Enzyme Cascade Optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Avoiding Replicates in Biocatalysis Experiments : Machine Learning for Enzyme Cascade Optimization

Reference 28

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This paper cites an unresolved cited work.

A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 29

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This paper cites Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design.

A Guide to Bayesian Optimization in Bioprocess Engineering Designing Robust Biotechnological Processes Regarding Variabilities Using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design

Reference 30

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Observation 406884af-95c8-42ab-affd-20ea592dcab0 · outbound

This paper cites Bayesian optimization using multiple directional objective functions allows the rapid inverse fitting of parameters for chromatography simulations.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian optimization using multiple directional objective functions allows the rapid inverse fitting of parameters for chromatography simulations

Reference 31

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Observation 6536adbc-3588-4243-8a04-994d59446320 · outbound

This paper cites Multi-objective global optimization ( MOGO ): Algorithm and case study in gradient elution chromatography.

A Guide to Bayesian Optimization in Bioprocess Engineering Multi-objective global optimization ( MOGO ): Algorithm and case study in gradient elution chromatography

Reference 32

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Observation ae34891e-31c8-468f-bb9e-9661f4ac8312 · outbound

This paper cites Design of Biopharmaceutical Formulations Accelerated by Machine Learning.

A Guide to Bayesian Optimization in Bioprocess Engineering Design of Biopharmaceutical Formulations Accelerated by Machine Learning

Reference 33

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This paper cites Bayesian Optimization in Bioprocess Engineering --- Where Do We Stand Today ? Biotechnology and Bioengineering , 122(6):1313--1325, June 2025.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian Optimization in Bioprocess Engineering --- Where Do We Stand Today ? Biotechnology and Bioengineering , 122(6):1313--1325, June 2025

Reference 34

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This paper cites An Intuitive Tutorial to Gaussian Process Regression.

A Guide to Bayesian Optimization in Bioprocess Engineering An Intuitive Tutorial to Gaussian Process Regression

Reference 35

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This paper cites A Visual Exploration of Gaussian Processes.

A Guide to Bayesian Optimization in Bioprocess Engineering A Visual Exploration of Gaussian Processes

Reference 36

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A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 37

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This paper cites Bayesian Optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian Optimization

Reference 38

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This paper cites Exploring Bayesian Optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Exploring Bayesian Optimization

Reference 39

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This paper cites BoTorch : A Framework for Efficient Monte-Carlo Bayesian Optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering BoTorch : A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 40

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This paper cites D \"u rholt, Thomas S.

A Guide to Bayesian Optimization in Bioprocess Engineering D \"u rholt, Thomas S

Reference 41

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This paper cites Hopp, Marcel M \"u ller, Rim Rihana, Karin Hrovatin, Fabian Liebig, Mathias Winkel, Wolfgang Halter, and Jan Gerit Brandenburg.

A Guide to Bayesian Optimization in Bioprocess Engineering Hopp, Marcel M \"u ller, Rim Rihana, Karin Hrovatin, Fabian Liebig, Mathias Winkel, Wolfgang Halter, and Jan Gerit Brandenburg

Reference 42

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This paper cites Gardner, Geoff Pleiss, David Bindel, Kilian Q.

A Guide to Bayesian Optimization in Bioprocess Engineering Gardner, Geoff Pleiss, David Bindel, Kilian Q

Reference 43

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A Guide to Bayesian Optimization in Bioprocess Engineering Scikit-optimize/scikit-optimize

Reference 44

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This paper cites Bayesian Optimization for Adaptive Experimental Design : A Review.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian Optimization for Adaptive Experimental Design : A Review

Reference 45

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This paper cites Frazier, Keith Baar, and David E.

A Guide to Bayesian Optimization in Bioprocess Engineering Frazier, Keith Baar, and David E

Reference 46

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This paper cites A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization, 2021.

A Guide to Bayesian Optimization in Bioprocess Engineering A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization, 2021

Reference 47

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This paper cites Gary Wang.

A Guide to Bayesian Optimization in Bioprocess Engineering Gary Wang

Reference 48

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Observation 16f342a8-3d42-4e4f-b2cd-a5769b32b089 · outbound

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A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 49

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This paper cites Vanilla Bayesian Optimization Performs Great in High Dimensions.

A Guide to Bayesian Optimization in Bioprocess Engineering Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 50

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Observation 9465fd84-ad82-45ff-bde4-aa155e9403fe · outbound

This paper cites Scalable Global Optimization via Local Bayesian Optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Scalable Global Optimization via Local Bayesian Optimization

Reference 51

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This paper cites Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization : To Do or Not To Do ? arXiv preprint arXiv:2503.03625 , March 2025.

A Guide to Bayesian Optimization in Bioprocess Engineering Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization : To Do or Not To Do ? arXiv preprint arXiv:2503.03625 , March 2025

Reference 52

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This paper cites Cruz Bournazou, Alessandro Butte, and Moritz Von Stosch.

A Guide to Bayesian Optimization in Bioprocess Engineering Cruz Bournazou, Alessandro Butte, and Moritz Von Stosch

Reference 53

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This paper cites Structured sampling strategies in Bayesian optimization: Evaluation in mathematical and real-world scenarios.

A Guide to Bayesian Optimization in Bioprocess Engineering Structured sampling strategies in Bayesian optimization: Evaluation in mathematical and real-world scenarios

Reference 54

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This paper cites Human-algorithm collaborative Bayesian optimization for engineering systems.

A Guide to Bayesian Optimization in Bioprocess Engineering Human-algorithm collaborative Bayesian optimization for engineering systems

Reference 55

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Observation 7e4e39c7-31a9-4d69-a084-b8755780759c · outbound

This paper cites A framework for accelerated phototrophic bioprocess development: Integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design.

A Guide to Bayesian Optimization in Bioprocess Engineering A framework for accelerated phototrophic bioprocess development: Integration of parallelized microscale cultivation, laboratory automation and Kriging-assisted experimental design

Reference 56

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This paper cites Batch Bayesian Optimization for Replicable Experimental Design , 2023.

A Guide to Bayesian Optimization in Bioprocess Engineering Batch Bayesian Optimization for Replicable Experimental Design , 2023

Reference 57

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Observation cdc6511a-ad1d-4cf1-b7fb-bfce59544fe2 · outbound

This paper cites Schweiger, Michael Bahn, Phil Ineson, Mirco Migliavacca, Thibaut Morel-Journel, Jesper Riis Christiansen, Nicolas Schtickzelle, and Klaus Steenberg Larsen.

A Guide to Bayesian Optimization in Bioprocess Engineering Schweiger, Michael Bahn, Phil Ineson, Mirco Migliavacca, Thibaut Morel-Journel, Jesper Riis Christiansen, Nicolas Schtickzelle, and Klaus Steenberg Larsen

Reference 58

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Observation 4110b766-a723-4d04-8838-6bc3ef190228 · outbound

This paper cites Control of parallelized bioreactors II : Probabilistic quantification of carboxylic acid reductase activity for bioprocess optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Control of parallelized bioreactors II : Probabilistic quantification of carboxylic acid reductase activity for bioprocess optimization

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.699970Z

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Observation 7d16b92e-9e6e-42c9-a9f8-5a0b2de0728e · outbound

This paper cites Lapierre, Pasquale Mattaliano, Dennis Raith, Mariela Castillo-Cota, Jonas Bermeitinger, and Robert Huber.

A Guide to Bayesian Optimization in Bioprocess Engineering Lapierre, Pasquale Mattaliano, Dennis Raith, Mariela Castillo-Cota, Jonas Bermeitinger, and Robert Huber

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.681705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f63421c0-8f70-4d5f-82ab-0ab4a7306cb7 · outbound

This paper cites Doyle, Berno J.E.

A Guide to Bayesian Optimization in Bioprocess Engineering Doyle, Berno J.E

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.664148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef847de3-4405-49b5-9650-686fe468bc8a · outbound

This paper cites Lhelleckes/ BO \_ Empirical \_ Examples : v0.1.0, August 2025.

A Guide to Bayesian Optimization in Bioprocess Engineering Lhelleckes/ BO \_ Empirical \_ Examples : v0.1.0, August 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.641087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45cab4ec-8300-40fb-a181-d1d6ecdbff2b · outbound

This paper cites Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R.

A Guide to Bayesian Optimization in Bioprocess Engineering Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.621039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4602a22c-3ff1-4a5a-b966-8b86493822d8 · outbound

This paper cites Unexpected Improvements to Expected Improvement for Bayesian Optimization , 2023.

A Guide to Bayesian Optimization in Bioprocess Engineering Unexpected Improvements to Expected Improvement for Bayesian Optimization , 2023

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.603910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5b12a0c-5369-4b62-906a-d5630c7c0d9f · outbound

This paper cites an unresolved cited work.

A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:20:13.584555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69fceed3-3a92-4126-8dbc-0039c04f0f8c · outbound

This paper cites Hoffman, and Zoubin Ghahramani.

A Guide to Bayesian Optimization in Bioprocess Engineering Hoffman, and Zoubin Ghahramani

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.567245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bee17f7-12ae-4875-b981-11916d266836 · outbound

This paper cites Random features for large-scale kernel machines.

A Guide to Bayesian Optimization in Bioprocess Engineering Random features for large-scale kernel machines

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.548067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1293b294-54c2-4c92-8726-d877a49a43b9 · outbound

This paper cites Spatial mapping with Gaussian processes and nonstationary Fourier features.

A Guide to Bayesian Optimization in Bioprocess Engineering Spatial mapping with Gaussian processes and nonstationary Fourier features

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.528386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b630503-62f8-464b-82f7-6ea7e8a453cf · outbound

This paper cites Large- Scale Learning with Fourier Features and Tensor Decompositions , 2021.

A Guide to Bayesian Optimization in Bioprocess Engineering Large- Scale Learning with Fourier Features and Tensor Decompositions , 2021

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.510876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c9c7b58-1d93-4aa2-a61f-fff5bfe10b02 · outbound

This paper cites Leek, Robert B.

A Guide to Bayesian Optimization in Bioprocess Engineering Leek, Robert B

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.491707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 140c8338-093f-44ea-bc63-4bb314c22df0 · outbound

This paper cites Why Batch Effects Matter in Omics Data , and How to Avoid Them.

A Guide to Bayesian Optimization in Bioprocess Engineering Why Batch Effects Matter in Omics Data , and How to Avoid Them

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.470237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation afa1da4f-fdbb-484a-9ccc-3fc817d8599e · outbound

This paper cites Evaluating and minimizing batch effects in metabolomics.

A Guide to Bayesian Optimization in Bioprocess Engineering Evaluating and minimizing batch effects in metabolomics

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.448979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61f44d45-4147-49d1-b7ff-58dfe83a3267 · outbound

This paper cites Detecting and removing multiplicative spatial bias in high-throughput screening technologies.

A Guide to Bayesian Optimization in Bioprocess Engineering Detecting and removing multiplicative spatial bias in high-throughput screening technologies

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.428757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9db73631-5d01-4fde-a56a-8e9f0a381588 · outbound

This paper cites Burt, Timothy J.

A Guide to Bayesian Optimization in Bioprocess Engineering Burt, Timothy J

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.408544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cf038831-bfe8-48aa-ba44-dfb84d194d73 · outbound

This paper cites Ray, Laura Brunner, Jin Wang, Jean W.

A Guide to Bayesian Optimization in Bioprocess Engineering Ray, Laura Brunner, Jin Wang, Jean W

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.390338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 737c7382-9264-4cce-9f9e-a1b5f0a61ed9 · outbound

This paper cites Variability in the adsorption properties of microtitre plates used as solid supports in enzyme immunoassay.

A Guide to Bayesian Optimization in Bioprocess Engineering Variability in the adsorption properties of microtitre plates used as solid supports in enzyme immunoassay

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.362276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ef284b9-064a-4525-83ca-ba49f7763376 · outbound

This paper cites Location Dependent Biases in Automatic 96- Well Microplate Readers.

A Guide to Bayesian Optimization in Bioprocess Engineering Location Dependent Biases in Automatic 96- Well Microplate Readers

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.342985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dab54a8e-da85-4fa4-b8cd-d42ba7fa7739 · outbound

This paper cites Montgomery.

A Guide to Bayesian Optimization in Bioprocess Engineering Montgomery

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.323317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51cf2a49-6f31-4437-afc6-99bea9f2bb1d · outbound

This paper cites Mitigation of microtiter plate positioning effects using a block randomization scheme.

A Guide to Bayesian Optimization in Bioprocess Engineering Mitigation of microtiter plate positioning effects using a block randomization scheme

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.303803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65024f6c-1391-41b5-9186-dfa35544ecd8 · outbound

This paper cites Helleckes, Carolin M \"u ller, Tim Griesbach, Vera Waffenschmidt, Matthias Moch, Michael Osthege, Wolfgang Wiechert, and Marco Oldiges.

A Guide to Bayesian Optimization in Bioprocess Engineering Helleckes, Carolin M \"u ller, Tim Griesbach, Vera Waffenschmidt, Matthias Moch, Michael Osthege, Wolfgang Wiechert, and Marco Oldiges

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.278373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1d463d3-6403-4402-8bd8-1614d4be597b · outbound

This paper cites Bayesian calibration, process modeling and uncertainty quantification in biotechnology.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian calibration, process modeling and uncertainty quantification in biotechnology

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.260081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 88022ca7-17e4-47bc-9fd9-1f7488786327 · outbound

This paper cites Thompson, Victor M.

A Guide to Bayesian Optimization in Bioprocess Engineering Thompson, Victor M

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.241269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f9191ec-7a1c-4898-bcc5-304b48f38150 · outbound

This paper cites Bayesian cell therapy process optimization.

A Guide to Bayesian Optimization in Bioprocess Engineering Bayesian cell therapy process optimization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.221188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec1a8d38-fd1f-4bc4-a525-e4847db0071c · outbound

This paper cites Block, Keith Baar, and Xingyu Chen.

A Guide to Bayesian Optimization in Bioprocess Engineering Block, Keith Baar, and Xingyu Chen

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.196318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e906bb2d-fcc3-4541-96e4-a0ea263aacc8 · outbound

This paper cites Robotic search for optimal cell culture in regenerative medicine.

A Guide to Bayesian Optimization in Bioprocess Engineering Robotic search for optimal cell culture in regenerative medicine

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.175132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0fbb6315-62e7-48a1-9156-a117131e4851 · outbound

This paper cites Gonz \'a lez and Victor M.

A Guide to Bayesian Optimization in Bioprocess Engineering Gonz \'a lez and Victor M

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.155641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36ef4eae-ea6f-4ae0-822b-e5151778446c · outbound

This paper cites Batch Bayesian Optimization via Local Penalization.

A Guide to Bayesian Optimization in Bioprocess Engineering Batch Bayesian Optimization via Local Penalization

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.133136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d7271e9-8c21-4aa5-b1fa-c3023f836f56 · outbound

This paper cites Parallelised Bayesian Optimisation via Thompson Sampling.

A Guide to Bayesian Optimization in Bioprocess Engineering Parallelised Bayesian Optimisation via Thompson Sampling

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.113436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fcdcc21-f6ad-4dfb-b246-e860457a7c84 · outbound

This paper cites Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes , February 2022.

A Guide to Bayesian Optimization in Bioprocess Engineering Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes , February 2022

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.094015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 68643ecc-25df-4966-b0af-d664964bfa85 · outbound

This paper cites Wilson, Frank Hutter, and Marc Peter Deisenroth.

A Guide to Bayesian Optimization in Bioprocess Engineering Wilson, Frank Hutter, and Marc Peter Deisenroth

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.076692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1cd9234c-fe45-4043-95eb-844fe10bd1fa · outbound

This paper cites Machine learning-assisted discovery of flow reactor designs.

A Guide to Bayesian Optimization in Bioprocess Engineering Machine learning-assisted discovery of flow reactor designs

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.058473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28d16bd5-441d-402b-b41f-1a76b2d6b899 · outbound

This paper cites Multi-fidelity optimization via surrogate modelling.

A Guide to Bayesian Optimization in Bioprocess Engineering Multi-fidelity optimization via surrogate modelling

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.039343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4792809b-7c97-4a15-9a2b-407f51d7ed54 · outbound

This paper cites Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark Van Der Wilk, and Ruth Misener.

A Guide to Bayesian Optimization in Bioprocess Engineering Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark Van Der Wilk, and Ruth Misener

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.021198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33c4ad56-0b71-4881-adad-8e22202e57fd · outbound

This paper cites Moss, David S.

A Guide to Bayesian Optimization in Bioprocess Engineering Moss, David S

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:13.000491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16011073-9324-48ec-a603-7d0080b37739 · outbound

This paper cites Osborne, and Eytan Bakshy.

A Guide to Bayesian Optimization in Bioprocess Engineering Osborne, and Eytan Bakshy

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:12.983305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a749f121-9dc3-4cd8-beb7-e3b7786d1e30 · outbound

This paper cites Garrido-Merch \'a n and Daniel Hern \'a ndez-Lobato.

A Guide to Bayesian Optimization in Bioprocess Engineering Garrido-Merch \'a n and Daniel Hern \'a ndez-Lobato

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:12.964609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6e03789-44cf-42c7-8e30-1ba1d4db7d7e · outbound

This paper cites Alvi, Vu Nguyen, Michael A.

A Guide to Bayesian Optimization in Bioprocess Engineering Alvi, Vu Nguyen, Michael A

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:12.946457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f425f791-85a7-4290-910c-8e2f57dd8e72 · outbound

This paper cites Multi-task Gaussian Process Prediction.

A Guide to Bayesian Optimization in Bioprocess Engineering Multi-task Gaussian Process Prediction

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:12.927631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e275a7b2-8aae-46d5-a8ee-e97beb857998 · outbound

This paper cites an unresolved cited work.

A Guide to Bayesian Optimization in Bioprocess Engineering Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:20:12.908352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2928580-7ee1-4507-83b8-3d8f8c850e76 · outbound

This paper cites Wei, David Duvenaud, Jos \'e Miguel Hern \'a ndez-Lobato , Benjam \'i n S \'a nchez-Lengeling , Dennis Sheberla, Jorge Aguilera-Iparraguirre , Timothy D.

A Guide to Bayesian Optimization in Bioprocess Engineering Wei, David Duvenaud, Jos \'e Miguel Hern \'a ndez-Lobato , Benjam \'i n S \'a nchez-Lengeling , Dennis Sheberla, Jorge Aguilera-Iparraguirre , Timothy D

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:20:12.890472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers