Simone Rossi

Assistant Professor

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Simone Rossi is an Assistant Professor (MdC) at EURECOM, where he is a member of the Data Science department. He received his PhD in Computer Science from Sorbonne University in 2022 on the topic of “Bayesian Inference for Deep Learning”. He is interested in the intersection of machine learning and statistics, with a focus on Bayesian methods and their applications to various domains, including computer vision, natural language processing, and autonomous driving applications.


Simone’s Publications

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIX (2024)

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Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning

Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning
Marc Schachtsiek, Simone Rossi, Thomas Hannagan
CoRR (2023)

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On permutation symmetries in Bayesian neural network posteriors: a variational perspective

On permutation symmetries in Bayesian neural network posteriors: a variational perspective
Simone Rossi, Ankit Singh, Thomas Hannagan
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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Continuous-Time Functional Diffusion Processes

Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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How Much Is Enough? A Study on Diffusion Times in Score-Based Generative Models
Giulio Franzese, Simone Rossi, Lixuan Yang, Alessandro Finamore, Dario Rossi, Maurizio Filippone, Pietro Michiardi
Entropy (2023)

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All You Need is a Good Functional Prior for Bayesian Deep Learning
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
J. Mach. Learn. Res. (2022)

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Improving Scalability and Inference in Probabilistic Deep Models. (Avancements dans la scalabilité et l'inférence des modèles profonds probabilistes)
Simone Rossi
Sorbonne University, Paris, France (2022)

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Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event (2021)

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Model Selection for Bayesian Autoencoders

Model Selection for Bayesian Autoencoders
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone
Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual (2021)

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Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations

Rethinking Sparse Gaussian Processes: Bayesian Approaches to Inducing-Variable Approximations
Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone
CoRR (2020)

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Walsh-Hadamard Variational Inference for Bayesian Deep Learning

Walsh-Hadamard Variational Inference for Bayesian Deep Learning
Simone Rossi, Sebastien Marmin, Maurizio Filippone
Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual (2020)

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Efficient Approximate Inference with Walsh-Hadamard Variational Inference

Efficient Approximate Inference with Walsh-Hadamard Variational Inference
Simone Rossi, Sebastien Marmin, Maurizio Filippone
CoRR (2019)

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Good Initializations of Variational Bayes for Deep Models

Good Initializations of Variational Bayes for Deep Models
Simone Rossi, Pietro Michiardi, Maurizio Filippone
Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA (2019)

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