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ORCIDSimone Rossi 0001
Person information
- affiliation: Data Science Department, EURECOM, Biot, France
Other persons with the same name
- Simone Rossi 0002
![[0000-0001-6697-9459]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6697-9459")
— University of Siena, Siena, Italy - Simone Rossi 0003 — University of North Carolina, Chapel Hill, NC, USA (and 3 more)
- Simone Rossi 0004 — C. O. Gruppo, Italy
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2020 – today
- 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- [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
- [j2]Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi:
How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models. Entropy 25(4): 633 (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 - [i10]Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi:
Continuous-Time Functional Diffusion Processes. CoRR abs/2303.00800 (2023) - [i9]Simone Rossi, Ankit Singh, Thomas Hannagan:
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
- [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 - [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) - [i7]Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi:
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models. CoRR abs/2206.05173 (2022) - 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 - [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
- [c2]Simone Rossi, Sébastien Marmin, Maurizio Filippone:
Walsh-Hadamard Variational Inference for Bayesian Deep Learning. NeurIPS 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)
2010 – 2019
- 2019
- [c1]Simone Rossi, Pietro Michiardi, Maurizio Filippone:
Good Initializations of Variational Bayes for Deep Models. ICML 2019: 5487-5497 - [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
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