| Jan 26, 2026 | 🎉 Our papers ‘Highly Efficient and Effective LLMs with Multi-Boolean Architectures’ and ‘Optimizing Data Augmentation through Bayesian Model Selection’ have been accepted at ICLR 2026! |
| Dec 10, 2025 | 🎖️ I have been recognized as a ‘Top Reviewer for the NeurIPS 2025 conference’! |
| Oct 14, 2025 | 🚀 Check out our new paper: ‘Universal Adaptive Environment Discovery’! |
| Jun 16, 2025 | 🎉 Our paper ‘Ultra-Efficient and Effective Large Language Models with Multi-Boolean Architectures’ has been accepted at ICML Workshop on Efficient Systems for Foundation Models and workshop on Machine Learning for Wireless Communication and Networks 2025! |
| May 28, 2025 | 🚀 Check out our new paper: ‘Highly Efficient and Effective LLMs with Multi-Boolean Architectures’! |
| May 27, 2025 | 🚀 Check out our new paper: ‘Optimizing Data Augmentation through Bayesian Model Selection’! |
| Jan 22, 2025 | 🎉 Our paper ‘Robust Classification by Coupling Data Mollification with Label Smoothing’ has been accepted at AISTATS 2025! |
| Sep 26, 2024 | 🎉 Our paper ‘BOLD: Boolean Logic Deep Learning’ has been accepted at NeurIPS 2024! |
| Jun 19, 2024 | 🎉 Our paper ‘Boolean Logic for Low-Energy Deep Learning’ has been accepted at ICML Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization 2024! |
| Jun 03, 2024 | 🚀 Check out our new paper: ‘Robust Classification by Coupling Data Mollification with Label Smoothing’! |
| May 25, 2024 | 🚀 Check out our new paper: ‘BOLD: Boolean Logic Deep Learning’! |
| Apr 11, 2024 | 🎉 Our paper ‘Spatial Bayesian Neural Networks’ has been accepted in the Spatial Statistics journal! |
| Dec 22, 2023 | 🚩 I have joined Huawei Paris research center as a research scientist in machine learning |
| Dec 06, 2023 | 🏆 I have received the 1st prize of ‘Prix de thèse de l’EDITE 2023’ (Best PhD thesis award) from Sorbonne University! |
| Oct 13, 2023 | 🎓 I have defended successfully my PhD thesis! The members of the jury include Chris Oates, Mark van der Wilk, Marco Lorenzi, Serena Villata, Pietro Michiardi, and Maurizio Filippone. |
| Sep 21, 2023 | 🎉 Our paper ‘One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models’ has been accepted at NeurIPS 2023! |
| Sep 20, 2023 | ✈️ I will be attending and presenting a poster at the workshop ‘Generative models and uncertainty quantification’, GenU 2023. |
| Jun 20, 2023 | 🎉 Our paper ‘Improving Training of Likelihood-based Generative Models with Gaussian Homotopy’ has been accepted at ICML Workshop on Structured Probabilistic Inference and Generative Modeling 2023! |
| May 31, 2023 | 🚀 Check out our new paper: ‘One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models’! |
| Apr 24, 2023 | 🎉 Our paper ‘Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes’ has been accepted at ICML 2023! |
| Feb 09, 2023 | 🚀 Check out our new paper: ‘Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes’! |
| Nov 30, 2022 | ✈️ I will be attending the NeurIPS conference and presenting our JMLR paper. |
| Oct 01, 2022 | 💡 I’m visiting the groups of Professors Stephan Mandt and Babak Shahbaba at UCI for three months. |
| May 09, 2022 | ✈️ I’ve had a California trip during April 26th ~ May 8th to visit and give talks at Ermon’s lab (Stanford) and Mandt’s lab (UCI). |
| Apr 01, 2022 | 🎉 Accepted for a contributed talk at Joint Statistical Meetings (JSM) 2022 on ‘Functional Priors for Bayesian Deep Learning’. |
| Mar 25, 2022 | 🎉 Our paper ‘All You Need is a Good Functional Prior for Bayesian Deep Learning’ has been accepted by JMLR! |
| Mar 24, 2022 | 🏅 Received an ISBA Travel Award for Young Researchers. |
| Mar 21, 2022 | 💡 Invited talk at the SIAM Conference on Imaging Science (IS22), organized by Society for Industrial and Applied Mathematics. |
| Mar 01, 2022 | 🎉 Accepted for a contributed talk at ISBA 2022 World Meeting on ‘Functional Priors for Bayesian Deep Learning’. |
| Sep 28, 2021 | 🎉 Our paper ‘Model Selection for Bayesian Autoencoders’ has been accepted at NeurIPS 2021! |
| Sep 01, 2021 | 📍 Invited to serve as a reviewer (for the first time) for AISTATS. |
| Jun 11, 2021 | 🚀 Check out our new paper: ‘Model Selection for Bayesian Autoencoders’! |
| Feb 17, 2021 | 💡 Invited talk at the Data Centric Engineering group, Alan Turing Institute, UK (virtual): ‘Functional priors for Bayesian neural networks’. |
| Jan 12, 2021 | 🎉 Our paper ‘Functional Priors for Bayesian Neural Networks through Wasserstein Distance Minimization to Gaussian Processes’ has been accepted at the 3rd Symposium on Advances in Approximate Bayesian Inference (AABI) 2021! |
| Nov 26, 2020 | 🚀 Check out our new paper: ‘All You Need is a Good Functional Prior for Bayesian Deep Learning’! |
| Sep 14, 2020 | 🎓 I have defended successfully my master thesis at Telecom Paris and EURECOM. |
| Sep 01, 2020 | 🚩 I have joined EURECOM and Sorbonne University as a PhD student in Machine Learning. |