default search action
Simone Rossi 0001
Person information
- affiliation: Data Science Department, EURECOM, Biot, France
Other persons with the same name
- Simone Rossi 0002
— University of Siena, Siena, Italy
- Simone Rossi 0003
- Simone Rossi 0004 — C. O. Gruppo, Italy
- Simone Rossi 0005 — Biorobotics Institute, Pisa, Italy
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2022
- [b1]Simone Rossi:
Improving Scalability and Inference in Probabilistic Deep Models. (Avancements dans la scalabilité et l'inférence des modèles profonds probabilistes). Sorbonne University, Paris, France, 2022
Journal Articles
- 2023
- [j2]Giulio Franzese
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25(4): 633 (2023) - 2022
- [j1]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone:
All You Need is a Good Functional Prior for Bayesian Deep Learning. J. Mach. Learn. Res. 23: 74:1-74:56 (2022)
Conference and Workshop Papers
- 2025
- [c8]Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan:
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning. AABI 2025: 67-90 - 2024
- [c7]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. ECCV (29) 2024: 324-341 - 2023
- [c6]Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. NeurIPS 2023 - [c5]Simone Rossi, Ankit Singh, Thomas Hannagan:
On permutation symmetries in Bayesian neural network posteriors: a variational perspective. NeurIPS 2023 - 2021
- [c4]Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone:
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations. AISTATS 2021: 1837-1845 - [c3]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone:
Model Selection for Bayesian Autoencoders. NeurIPS 2021: 19730-19742 - 2020
- [c2]Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. NeurIPS 2020 - 2019
- [c1]Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. ICML 2019: 5487-5497
Informal and Other Publications
- 2025
- [i14]Simone Papicchio, Simone Rossi, Luca Cagliero, Paolo Papotti
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL. CoRR abs/2504.15077 (2025) - [i13]Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan:
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning. CoRR abs/2504.15722 (2025) - [i12]Mattia Rosso, Simone Rossi, Giulio Franzese, Markus Heinonen, Maurizio Filippone:
Scaling Laws for Uncertainty in Deep Learning. CoRR abs/2506.09648 (2025) - 2024
- [i11]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. CoRR abs/2408.00766 (2024) - 2023
- [i10]Giulio Franzese
Continuous-Time Functional Diffusion Processes. CoRR abs/2303.00800 (2023) - [i9]Simone Rossi
On permutation symmetries in Bayesian neural network posteriors: a variational perspective. CoRR abs/2310.10171 (2023) - [i8]Marc Schachtsiek, Simone Rossi, Thomas Hannagan:
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning. CoRR abs/2311.14146 (2023) - 2022
- [i7]Giulio Franzese
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR abs/2206.05173 (2022) - 2021
- [i6]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone:
Model Selection for Bayesian Autoencoders. CoRR abs/2106.06245 (2021) - 2020
- [i5]Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone:
Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations. CoRR abs/2003.03080 (2020) - [i4]Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone:
All You Need is a Good Functional Prior for Bayesian Deep Learning. CoRR abs/2011.12829 (2020) - 2019
- [i3]Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. CoRR abs/1905.11248 (2019) - [i2]Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Efficient Approximate Inference with Walsh-Hadamard Variational Inference. CoRR abs/1912.00015 (2019) - 2018
- [i1]Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. CoRR abs/1810.08083 (2018)
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 2025-11-04 01:54 CET 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: