Federici, Marco

7 publications

ICLR 2024 Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck Marco Federici, Patrick Forré, Ryota Tomioka, Bastiaan S. Veeling

ICLR 2023 Bridge the Inference Gaps of Neural Processes via Expectation Maximization Qi Wang, Marco Federici, Herke van Hoof

ICMLW 2023 Simulation-Based Inference with the Generalized Kullback-Leibler Divergence Benjamin Kurt Miller, Marco Federici, Christoph Weniger, Patrick Forré

CVPRW 2022 Compositional Mixture Representations for Vision and Text Stephan Alaniz, Marco Federici, Zeynep Akata

NeurIPS 2021 An Information-Theoretic Approach to Distribution Shifts Marco Federici, Ryota Tomioka, Patrick Forré

NeurIPSW 2021 Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations Jan Zuiderveld, Marco Federici, Erik J Bekkers

ICLR 2020 Learning Robust Representations via Multi-View Information Bottleneck Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata