Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid A. Knowles
Person information
- affiliation: New York Genome Center, New York City, NY, USA
- affiliation: Columbia University, New York City, NY, USA
- affiliation: Stanford University, Department of Computer Science, Stanford, CA, USA
- affiliation (PhD): University of Cambridge, Department of Engineering , UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2023
[j5]Rockwell J. Weiner, Chirag M. Lakhani, David A. Knowles
, Gamze Gürsoy:
LDmat: efficiently queryable compression of linkage disequilibrium matrices. Bioinform. 39(2) (2023)- 2022
- [j4]Stephen Malina, Daniel Cizin, David A. Knowles:
Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models. PLoS Comput. Biol. 18(10): 1009880 (2022) - 2019
- [j3]David A. Knowles, Gina Bouchard, Sylvia K. Plevritis:
Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features. PLoS Comput. Biol. 15(5) (2019) - 2015
- [j2]David A. Knowles, Zoubin Ghahramani:
Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 271-289 (2015) - [j1]Konstantina Palla, David A. Knowles, Zoubin Ghahramani:
Relational Learning and Network Modelling Using Infinite Latent Attribute Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 462-474 (2015)
Conference and Workshop Papers
- 2024
- [c18]Cameron Park, Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Satyen Gohil, Shuqiang Li, Teddy Huang, David A. Knowles, Catherine J. Wu, Elham Azizi:
DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data. RECOMB 2024: 390-395 - 2023
- [c17]Andrew Stirn, Harm Wessels, Megan Schertzer, Laura Pereira, Neville E. Sanjana, David A. Knowles:
Faithful Heteroscedastic Regression with Neural Networks. AISTATS 2023: 5593-5613 - [c16]Keren Isaev, David A. Knowles:
Investigating RNA splicing as a source of cellular diversity using a binomial mixture model. MLCB 2023: 163-175 - 2019
- [c15]Andrew Stirn, Tony Jebara, David A. Knowles:
A New Distribution on the Simplex with Auto-Encoding Applications. NeurIPS 2019: 13670-13680 - 2017
- [c14]Konstantina Palla, David A. Knowles, Zoubin Ghahramani:
A Birth-Death Process for Feature Allocation. ICML 2017: 2751-2759 - 2015
- [c13]Amar Shah, David A. Knowles, Zoubin Ghahramani:
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. ICML 2015: 1594-1603 - [c12]Kien Nguyen, Jörg Bredno, David A. Knowles:
Using contextual information to classify nuclei in histology images. ISBI 2015: 995-998 - 2014
- [c11]Creighton Heaukulani, David A. Knowles, Zoubin Ghahramani:
Beta Diffusion Trees. ICML 2014: 1809-1817 - [c10]David A. Knowles, Zoubin Ghahramani, Konstantina Palla:
A reversible infinite HMM using normalised random measures. ICML 2014: 1998-2006 - 2013
- [c9]Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani:
The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. UAI 2013 - 2012
- [c8]Konstantina Palla, David A. Knowles, Zoubin Ghahramani:
An Infinite Latent Attribute Model for Network Data. ICML 2012 - [c7]Andrew Gordon Wilson, David A. Knowles, Zoubin Ghahramani:
Gaussian Process Regression Networks. ICML 2012 - [c6]David A. Knowles, Konstantina Palla, Zoubin Ghahramani:
A nonparametric variable clustering model. NIPS 2012: 2996-3004 - 2011
- [c5]David A. Knowles, Jurgen Van Gael, Zoubin Ghahramani:
Message Passing Algorithms for the Dirichlet Diffusion Tree. ICML 2011: 721-728 - [c4]David A. Knowles, Tom Minka:
Non-conjugate Variational Message Passing for Multinomial and Binary Regression. NIPS 2011: 1701-1709 - [c3]David A. Knowles, Zoubin Ghahramani:
Pitman-Yor Diffusion Trees. UAI 2011: 410-418 - 2009
- [c2]Finale Doshi-Velez, David A. Knowles, Shakir Mohamed, Zoubin Ghahramani:
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process. NIPS 2009: 1294-1302 - 2007
- [c1]David A. Knowles, Zoubin Ghahramani:
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis. ICA 2007: 381-388
Editorship
- 2023
- [e3]David A. Knowles, Sara Mostafavi:
Machine Learning in Computational Biology, November 30 - December 1, 2023, Seattle, WA, USA. Proceedings of Machine Learning Research 240, PMLR 2023 [contents] - 2022
- [e2]David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology, 21-22 November 2022, Online. Proceedings of Machine Learning Research 200, PMLR 2022 [contents] - 2021
- [e1]David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021. Proceedings of Machine Learning Research 165, PMLR 2021 [contents]
Informal and Other Publications
- 2024
- [i11]Andrew Stirn, David A. Knowles:
The VampPrior Mixture Model. CoRR abs/2402.04412 (2024) - 2023
- [i10]Daniel H. Um, David A. Knowles, Gail E. Kaiser:
Vector Embeddings by Sequence Similarity and Context for Improved Compression, Similarity Search, Clustering, Organization, and Manipulation of cDNA Libraries. CoRR abs/2308.05118 (2023) - [i9]Peter Halmos, Jonathan W. Pillow, David A. Knowles:
System Identification for Continuous-time Linear Dynamical Systems. CoRR abs/2308.11933 (2023) - 2022
- [i8]Andrew Stirn, Hans-Hermann Wessels, Megan Schertzer, Laura Pereira, Neville E. Sanjana, David A. Knowles:
Faithful Heteroscedastic Regression with Neural Networks. CoRR abs/2212.09184 (2022) - 2020
- [i7]Andrew Stirn, David A. Knowles:
Variational Variance: Simple and Reliable Predictive Variance Parameterization. CoRR abs/2006.04910 (2020) - [i6]Udai G. Nagpal, David A. Knowles:
Active Learning in CNNs via Expected Improvement Maximization. CoRR abs/2011.14015 (2020) - 2019
- [i5]Andrew Stirn, Tony Jebara, David A. Knowles:
A New Distribution on the Simplex with Auto-Encoding Applications. CoRR abs/1905.12052 (2019) - 2015
- [i4]Amar Shah, David A. Knowles, Zoubin Ghahramani:
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process. CoRR abs/1506.08180 (2015) - 2013
- [i3]Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani:
The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models. CoRR abs/1309.6858 (2013) - 2012
- [i2]Tim Salimans, David A. Knowles:
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression. CoRR abs/1206.6679 (2012) - 2010
- [i1]David A. Knowles, Zoubin Ghahramani:
Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling. CoRR abs/1011.6293 (2010)
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 2024-07-18 21:56 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:
