Ambrogioni, Luca

28 publications

ICLR 2025 Dynamic Negative Guidance of Diffusion Models Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni

NeurIPS 2025 Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic, Florian Handke, Luca Ambrogioni

ICLRW 2025 Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic, Luca Ambrogioni

NeurIPS 2025 Feedback Guidance of Diffusion Models Felix Koulischer, Florian Handke, Johannes Deleu, Thomas Demeester, Luca Ambrogioni

ICLR 2025 Manifolds, Random Matrices and Spectral Gaps: The Geometric Phases of Generative Diffusion Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni

ICLRW 2025 Measuring Semantic Information Production in Generative Diffusion Models Florian Handke, Felix Koulischer, Gabriel Raya, Luca Ambrogioni

ICLRW 2025 Memorization to Generalization: Emergence of Diffusion Models from Associative Memory Networks Bao Pham, Gabriel Raya, Matteo Negri, Mohammed J Zaki, Luca Ambrogioni, Dmitry Krotov

ICLRW 2025 The Capacity of Modern Hopfield Networks Under the Data Manifold Hypothesis Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello, Marc Mezard, Enrico Ventura

ICLRW 2025 Training Consistency Models with Variational Noise Coupling Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji

ICML 2025 VCT: Training Consistency Models with Variational Noise Coupling Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji

ICMLW 2024 Consistency Models with Learned Idempotent Boundary Conditions Gianluigi Silvestri, Luca Ambrogioni

NeurIPSW 2024 Dynamic Negative Guidance of Diffusion Models: Towards Immediate Content Removal Felix Koulischer, Johannes Deleu, Gabriel Raya, Thomas Demeester, Luca Ambrogioni

NeurIPSW 2024 Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory Bao Pham, Gabriel Raya, Matteo Negri, Mohammed J Zaki, Luca Ambrogioni, Dmitry Krotov

ICML 2024 Stationarity Without Mean Reversion in Improper Gaussian Processes Luca Ambrogioni

ICLR 2023 Deterministic Training of Generative Autoencoders Using Invertible Layers Gianluigi Silvestri, Daan Roos, Luca Ambrogioni

TMLR 2023 Gradient-Adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven

NeurIPSW 2023 In Search of Dispersed Memories: Generative Diffusion Models Are Associative Memory Networks Luca Ambrogioni

NeurIPS 2023 Spontaneous Symmetry Breaking in Generative Diffusion Models Gabriel Raya, Luca Ambrogioni

ICLR 2022 Embedded-Model Flows: Combining the Inductive Biases of Model-Free Deep Learning and Explicit Probabilistic Modeling Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni

AISTATS 2021 Automatic Structured Variational Inference Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel Gerven

ICML 2021 Automatic Variational Inference with Cascading Flows Luca Ambrogioni, Gianluigi Silvestri, Marcel Gerven

NeurIPS 2020 GAIT-Prop: A Biologically Plausible Learning Rule Derived from Backpropagation of Error Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni

UAI 2020 The Indian Chefs Process Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel Gerven, François Laviolette

AISTATS 2019 Forward Amortized Inference for Likelihood-Free Variational Marginalization Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva Borne, Yaǧmur Güçlütürk, Max Hinne, Eric Maris, Marcel Gerven

AISTATS 2019 SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel Gerven, Eric Maris

AISTATS 2018 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis Luca Ambrogioni, Eric Maris

NeurIPS 2018 Wasserstein Variational Inference Luca Ambrogioni, Umut Güçlü, Yağmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris

NeurIPS 2017 GP CaKe: Effective Brain Connectivity with Causal Kernels Luca Ambrogioni, Max Hinne, Marcel Van Gerven, Eric Maris