Simone Rossi

According to our database, Simone Rossi authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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, April, 2023

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

Marc Schachtsiek, Simone Rossi, Thomas Hannagan

CoRR, 2023

Continuous-Time Functional Diffusion Processes.

Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

CoRR, 2023

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

Simone Rossi, Ankit Singh, Thomas Hannagan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous-Time Functional Diffusion Processes.

Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improving Scalability and Inference in Probabilistic Deep Models. (Avancements dans la scalabilité et l'inférence des modèles profonds probabilistes).

Simone Rossi

PhD thesis, 2022

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

2021

Model Selection for Bayesian Autoencoders.

Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations.

Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

Simone Rossi, Markus Heinonen, Edwin V. Bonilla, Zheyang Shen, Maurizio Filippone

CoRR, 2020

Walsh-Hadamard Variational Inference for Bayesian Deep Learning.

Simone Rossi, Sébastien Marmin, Maurizio Filippone

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Efficient Approximate Inference with Walsh-Hadamard Variational Inference.

Simone Rossi, Sébastien Marmin, Maurizio Filippone

CoRR, 2019

Good Initializations of Variational Bayes for Deep Models.

Simone Rossi, Pietro Michiardi, Maurizio Filippone

Proceedings of the 36th International Conference on Machine Learning, 2019