Rossi, Simone

10 publications

TMLR 2025 The Initialization Determines Whether In-Context Learning Is Gradient Descent Shifeng Xie, Rui Yuan, Simone Rossi, Thomas Hannagan

ECCV 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

NeurIPSW 2023 Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation Using Active Learning Marc Schachtsiek, Simone Rossi, Thomas Hannagan

NeurIPS 2023 Continuous-Time Functional Diffusion Processes Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

NeurIPS 2023 On Permutation Symmetries in Bayesian Neural Network Posteriors: A Variational Perspective Simone Rossi, Ankit Singh, Thomas Hannagan

JMLR 2022 All You Need Is a Good Functional Prior for Bayesian Deep Learning Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone

AISTATS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations Simone Rossi, Markus Heinonen, Edwin Bonilla, Zheyang Shen, Maurizio Filippone

NeurIPS 2021 Model Selection for Bayesian Autoencoders Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Pietro Michiardi, Edwin V. Bonilla, Maurizio Filippone

NeurIPS 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning Simone Rossi, Sebastien Marmin, Maurizio Filippone

ICML 2019 Good Initializations of Variational Bayes for Deep Models Simone Rossi, Pietro Michiardi, Maurizio Filippone