default search action
Umberto Picchini
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini:
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Trans. Mach. Learn. Res. 2024 (2024) - [i4]Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini:
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. CoRR abs/2403.07454 (2024) - 2023
- [c2]Stefan T. Radev, Marvin Schmitt, Valentin Pratz
, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner:
Jana: Jointly amortized neural approximation of complex Bayesian models. UAI 2023: 1695-1706 - [i3]Stefan T. Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner:
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models. CoRR abs/2302.09125 (2023) - 2022
- [j7]Sebastian Persson, Niek Welkenhuysen, Sviatlana Shashkova
Scalable and flexible inference framework for stochastic dynamic single-cell models. PLoS Comput. Biol. 18(5) (2022) - 2021
- [j6]Samuel Wiqvist, Andrew Golightly
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms. Comput. Stat. Data Anal. 157: 107151 (2021) - [i2]Samuel Wiqvist
Sequential Neural Posterior and Likelihood Approximation. CoRR abs/2102.06522 (2021)
2010 – 2019
- 2019
- [j5]Umberto Picchini
Likelihood-free stochastic approximation EM for inference in complex models. Commun. Stat. Simul. Comput. 48(3): 861-881 (2019) - [c1]Samuel Wiqvist
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. ICML 2019: 6798-6807 - [i1]Samuel Wiqvist
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation. CoRR abs/1901.10230 (2019) - 2018
- [j4]Umberto Picchini
Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models. Comput. Stat. 33(1): 179-212 (2018) - 2017
- [j3]Umberto Picchini
Approximate maximum likelihood estimation using data-cloning ABC. Comput. Stat. Data Anal. 105: 166-183 (2017) - 2011
- [j2]Umberto Picchini
Practical estimation of high dimensional stochastic differential mixed-effects models. Comput. Stat. Data Anal. 55(3): 1426-1444 (2011)
2000 – 2009
- 2008
- [j1]Umberto Picchini
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. Neural Comput. 20(11): 2696-2714 (2008)
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 2024-08-10 01:28 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: