ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.14545
  4. Cited By
Modern Bayesian Experimental Design

Modern Bayesian Experimental Design

28 February 2023
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
ArXivPDFHTML

Papers citing "Modern Bayesian Experimental Design"

21 / 21 papers shown
Title
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
Anthony GX-Chen
Dongyan Lin
Mandana Samiei
Doina Precup
Blake A. Richards
Rob Fergus
Kenneth Marino
CML
LRM
34
0
0
14 May 2025
Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
Fusing Foveal Fixations Using Linear Retinal Transformations and Bayesian Experimental Design
Christopher K. I. Williams
27
0
0
02 May 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra
Gregory Kang Ruey Lau
S. Ng
Bryan Kian Hsiang Low
PINN
48
0
0
10 Mar 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
Abrar Anwar
Rohan Gupta
Zain Merchant
Sayan Ghosh
Willie Neiswanger
Jesse Thomason
OffRL
67
1
0
14 Feb 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Cen Li
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
OffRL
148
0
0
26 Jan 2025
Bayesian Adaptive Calibration and Optimal Design
Bayesian Adaptive Calibration and Optimal Design
Rafael Oliveira
Dino Sejdinovic
David Howard
Edwin Bonilla
113
0
0
20 Jan 2025
Amortized Bayesian Experimental Design for Decision-Making
Amortized Bayesian Experimental Design for Decision-Making
Daolang Huang
Yujia Guo
Luigi Acerbi
Samuel Kaski
44
2
0
03 Jan 2025
Proxy-informed Bayesian transfer learning with unknown sources
Proxy-informed Bayesian transfer learning with unknown sources
Sabina J. Sloman
Julien Martinelli
Samuel Kaski
35
0
0
05 Nov 2024
Bayesian Experimental Design via Contrastive Diffusions
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo
Christophe Heinkelé
Pierre Alliez
Florence Forbes
30
0
0
15 Oct 2024
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero-Encinar
Tobias Schröder
P. Yatsyshin
Andrew Duncan
45
0
0
15 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
L. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
46
0
0
10 Oct 2024
Active Diffusion Subsampling
Active Diffusion Subsampling
Oisin Nolan
Tristan S. W. Stevens
Wessel L. van Nierop
Ruud J. G. van Sloun
DiffM
MedIm
37
2
0
20 Jun 2024
CoCoG: Controllable Visual Stimuli Generation based on Human Concept
  Representations
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
Chen Wei
Jiachen Zou
Dietmar Heinke
Quanying Liu
45
3
0
25 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Variational Bayesian Optimal Experimental Design with Normalizing Flows
Jiayuan Dong
Christian L. Jacobsen
Mehdi Khalloufi
Maryam Akram
Wanjiao Liu
Karthik Duraisamy
Xun Huan
BDL
54
5
0
08 Apr 2024
Bayesian Optimisation Against Climate Change: Applications and
  Benchmarks
Bayesian Optimisation Against Climate Change: Applications and Benchmarks
Sigrid Passano Hellan
Christopher G. Lucas
Nigel H. Goddard
34
1
0
07 Jun 2023
Bayesian design of measurements for magnetorelaxometry imaging
Bayesian design of measurements for magnetorelaxometry imaging
T. Helin
Nuutti Hyvönen
Jarno Maaninen
Juha-Pekka Puska
16
18
0
31 May 2023
Prediction-Oriented Bayesian Active Learning
Prediction-Oriented Bayesian Active Learning
Freddie Bickford-Smith
Andreas Kirsch
Sebastian Farquhar
Y. Gal
Adam Foster
Tom Rainforth
29
29
0
17 Apr 2023
Design Amortization for Bayesian Optimal Experimental Design
Design Amortization for Bayesian Optimal Experimental Design
Noble Kennamer
Steven Walton
Alexander Ihler
21
5
0
07 Oct 2022
Robust Expected Information Gain for Optimal Bayesian Experimental
  Design Using Ambiguity Sets
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets
Jinwook Go
T. Isaac
21
10
0
20 May 2022
Test Distribution-Aware Active Learning: A Principled Approach Against
  Distribution Shift and Outliers
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers
Andreas Kirsch
Tom Rainforth
Y. Gal
OOD
TTA
24
22
0
22 Jun 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
1