default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRyan-Rhys Griffiths
Person information
- affiliation: Meta, Menlo Park, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j4]Nataliya Tkachenko, Simon Frieder, Ryan-Rhys Griffiths, Christoph Nedopil:
Analyzing global utilization and missed opportunities in debt-for-nature swaps with generative AI. Frontiers Artif. Intell. 7 (2024)- 2022
- [j3]Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths
, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar:
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74: 1269-1349 (2022) - [j2]Ryan-Rhys Griffiths, Alexander A. Aldrick, Miguel Garcia-Ortegon, Vidhi Lalchand, Alpha A. Lee:
Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation. Mach. Learn. Sci. Technol. 3(1): 15004 (2022) - 2021
- [j1]Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar:
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn. Res. 22: 160:1-160:78 (2021)
Conference and Workshop Papers
- 2023
- [c7]Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner:
Mathematical Capabilities of ChatGPT. NeurIPS 2023 - [c6]Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang:
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS 2023 - 2022
- [c5]Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork:
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. Computer Vision and Image Analysis of Art 2022: 1-14 - 2021
- [c4]Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. Computer Vision and Image Analysis of Art 2021: 1-10 - [c3]George H. Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. Computer Vision and Image Analysis of Art 2021: 1-8 - [c2]David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. Computer Vision and Image Analysis of Art 2021: 1-8 - 2019
- [c1]James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote:
Adaptive Sensor Placement for Continuous Spaces. ICML 2019: 2385-2393
Informal and Other Publications
- 2024
- [i17]Gregory Kell, Angus Roberts, Serge Umansky, Yuti Khare, Najma Ahmed, Nikhil Patel, Chloe Simela, Jack Coumbe, Julian Rozario, Ryan-Rhys Griffiths, Iain James Marshall:
RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions. CoRR abs/2408.08624 (2024) - 2023
- [i16]Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner:
Mathematical Capabilities of ChatGPT. CoRR abs/2301.13867 (2023) - [i15]Ryan-Rhys Griffiths:
Applications of Gaussian Processes at Extreme Lengthscales: From Molecules to Black Holes. CoRR abs/2303.14291 (2023) - 2022
- [i14]Gregory Kell, Ryan-Rhys Griffiths, Anthony Bourached, David G. Stork:
Extracting associations and meanings of objects depicted in artworks through bi-modal deep networks. CoRR abs/2203.07026 (2022) - [i13]Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang:
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR abs/2212.04450 (2022) - 2021
- [i12]Anthony Bourached, George Cann, Ryan-Rhys Griffiths, David G. Stork:
Recovery of underdrawings and ghost-paintings via style transfer by deep convolutional neural networks: A digital tool for art scholars. CoRR abs/2101.10807 (2021) - [i11]George Cann, Anthony Bourached, Ryan-Rhys Griffiths, David G. Stork:
Resolution enhancement in the recovery of underdrawings via style transfer by generative adversarial deep neural networks. CoRR abs/2102.00209 (2021) - [i10]David G. Stork, Anthony Bourached, George H. Cann, Ryan-Rhys Griffiths:
Computational identification of significant actors in paintings through symbols and attributes. CoRR abs/2102.02732 (2021) - [i9]Ryan-Rhys Griffiths, Philippe Schwaller, Alpha A. Lee:
Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design. CoRR abs/2105.02637 (2021) - [i8]Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar:
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR abs/2106.03609 (2021) - [i7]Ajmal Aziz, Edward Elson Kosasih, Ryan-Rhys Griffiths, Alexandra Brintrup:
Data Considerations in Graph Representation Learning for Supply Chain Networks. CoRR abs/2107.10609 (2021) - [i6]Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev:
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR abs/2111.12602 (2021) - 2020
- [i5]Henry B. Moss, Ryan-Rhys Griffiths:
Gaussian Process Molecule Property Prediction with FlowMO. CoRR abs/2010.01118 (2020) - [i4]Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev:
Generative Model-Enhanced Human Motion Prediction. CoRR abs/2010.11699 (2020) - [i3]Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar:
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR abs/2012.08240 (2020) - 2019
- [i2]James A. Grant, Alexis Boukouvalas, Ryan-Rhys Griffiths, David S. Leslie, Sattar Vakili, Enrique Munoz de Cote:
Adaptive Sensor Placement for Continuous Spaces. CoRR abs/1905.06821 (2019) - [i1]Ryan-Rhys Griffiths, Miguel Garcia-Ortegon, Alexander A. Aldrick, Alpha A. Lee:
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation. CoRR abs/1910.07779 (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
