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L. Ambrogioni · SciRah

Researcher profile · Semantic Scholar

L. Ambrogioni

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L. Ambrogioni — researcher profile on SciRah

h-index: 16
Works: 59
Citations: 1,074

Most-cited papers

Generative adversarial networks for reconstructing natural images from brain activity
K. Seeliger, Umut Güçlü, L. Ambrogioni, Yağmur Güçlütürk +1 more
2017bioRxiv192 citations Open access
Semantic Scholar
Theta oscillations locked to intended actions rhythmically modulate perception
A. Tomassini, L. Ambrogioni, W. Medendorp, E. Maris
2017eLife117 citations Open access
Semantic Scholar
Spontaneous symmetry breaking in generative diffusion models
G. Raya, L. Ambrogioni
2023Neural Information Processing Systems98 citations Open access
Semantic Scholar
Neural dynamics of perceptual inference and its reversal during imagery
N. Dijkstra, L. Ambrogioni, D. Vidaurre, M. V. van Gerven
2020eLife80 citations Open access
Semantic Scholar
Structurally-informed Bayesian functional connectivity analysis
M. Hinne, L. Ambrogioni, R. Janssen, T. Heskes +1 more
2014NeuroImage59 citations Open access
Semantic Scholar
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
L. Ambrogioni, Umut Güçlü, M. V. van Gerven, E. Maris
201754 citations
Semantic Scholar
Dynamic decomposition of spatiotemporal neural signals
L. Ambrogioni, M. V. van Gerven, E. Maris
2016PLoS Comput. Biol.48 citations Open access
Semantic Scholar
End-to-end neural system identification with neural information flow
K. Seeliger, L. Ambrogioni, Yağmur Güçlütürk, L. M. van den Bulk +2 more
2019bioRxiv45 citations Open access
Semantic Scholar
Wasserstein Variational Inference
L. Ambrogioni, Umut Guclu, Yağmur Güçlütürk, M. Hinne +2 more
2018Neural Information Processing Systems43 citations
Semantic Scholar
Hyperrealistic neural decoding for reconstructing faces from fMRI activations via the GAN latent space
Thirza Dado, Yağmur Güçlütürk, L. Ambrogioni, Gabrielle Ras +3 more
2022Scientific Reports42 citations Open access
Semantic Scholar
Automatic structured variational inference
L. Ambrogioni, Kate Lin, Emily Fertig, S. Vikram +3 more
2020International Conference on Artificial Intelligence and Statistics34 citations
Semantic Scholar
Complex-valued gaussian process regression for time series analysis
L. Ambrogioni, E. Maris
2016Signal Processing30 citations Open access
Semantic Scholar
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
Nasir Ahmad, M. V. van Gerven, L. Ambrogioni
2020Neural Information Processing Systems28 citations
Semantic Scholar
Forward Amortized Inference for Likelihood-Free Variational Marginalization
L. Ambrogioni, Umut Güçlü, J. Berezutskaya, Eva W. P. van den Borne +4 more
2018International Conference on Artificial Intelligence and Statistics24 citations
Semantic Scholar
Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity
Lynn Le, L. Ambrogioni, K. Seeliger, Yağmur Güçlütürk +2 more
2022Frontiers in Neuroscience18 citations Open access
Semantic Scholar
Brain2Pix: Fully convolutional naturalistic video reconstruction from brain activity
Lynn Le, L. Ambrogioni, K. Seeliger, Yağmur Güçlütürk +2 more
2021bioRxiv18 citations Open access
Semantic Scholar
Rethinking the hippocampal cognitive map as a meta-learning computational module.
L. Ambrogioni, H. F. Ólafsdóttir
2023Trends in Cognitive Sciences14 citations Open access
Semantic Scholar
Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
J. Berezutskaya, Z. Freudenburg, L. Ambrogioni, Umut Güçlü +2 more
2020Scientific Reports14 citations Open access
Semantic Scholar
Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference
L. Ambrogioni, Umut Güçlü, Yağmur Güçlütürk, M. V. van Gerven
2018arXiv.org14 citations
Semantic Scholar
GP CaKe: Effective brain connectivity with causal kernels
L. Ambrogioni, M. Hinne, M. V. van Gerven, E. Maris
2017Neural Information Processing Systems12 citations
Semantic Scholar
DeepRF: Ultrafast population receptive field mapping with deep learning
J. Thielen, Umut Güçlü, Yağmur Güçlütürk, L. Ambrogioni +2 more
2019bioRxiv11 citations Open access
Semantic Scholar
Automatic variational inference with cascading flows
L. Ambrogioni, Gianluigi Silvestri, M. V. van Gerven
2021International Conference on Machine Learning10 citations
Semantic Scholar
Hyperrealistic neural decoding: Reconstruction of face stimuli from fMRI measurements via the GAN latent space
Thirza Dado, Yağmur Güçlütürk, L. Ambrogioni, Gabrielle Ras +3 more
2020bioRxiv8 citations Open access
Semantic Scholar
Optimizing an existing prediction model for quality of life one‐year post‐intensive care unit: An exploratory analysis
M. de Jonge, Nina Wubben, Christiaan R. van Kaam, T. Frenzel +5 more
2022Acta Anaesthesiologica Scandinavica7 citations Open access
Semantic Scholar
Estimating Nonlinear Dynamics with the ConvNet Smoother
L. Ambrogioni, Umut Güçlü, E. Maris, M. V. van Gerven
20177 citations
Semantic Scholar
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
L. Ambrogioni, E. Maris
2017International Conference on Artificial Intelligence and Statistics6 citations
Semantic Scholar
Towards Naturalistic Speech Decoding from Intracranial Brain Data
J. Berezutskaya, L. Ambrogioni, N. Ramsey, M. V. van Gerven
2022Annual International Conference of the IEEE Engineering in Medicine and Biology Society5 citations Open access
Semantic Scholar
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri, Emily Fertig, David A. Moore, L. Ambrogioni
2021International Conference on Learning Representations5 citations
Semantic Scholar
Deterministic training of generative autoencoders using invertible layers
Gianluigi Silvestri, D. Roos, L. Ambrogioni
2022International Conference on Learning Representations4 citations
Semantic Scholar
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
Nasir Ahmad, L. Ambrogioni, M. V. van Gerven
2020Neurons, Behavior, Data analysis, and Theory4 citations Open access
Semantic Scholar
k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport
L. Ambrogioni, Umut Güçlü, M. V. van Gerven
2019arXiv.org4 citations
Semantic Scholar
Bayesian model ensembling using meta-trained recurrent neural networks
L. Ambrogioni, Y. Berezutskaya, Umut Güçlü, Eva W. P. van den Borne +3 more
2017Neural Information Processing Systems4 citations
Semantic Scholar
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations
Gabrielle Ras, L. Ambrogioni, W. Haselager, M. V. van Gerven +1 more
2020arXiv.org3 citations
Semantic Scholar
Bayesian model averaging for nonparametric discontinuity design
M. Hinne, D. Leeftink, M. V. van Gerven, L. Ambrogioni
2022PLoS ONE2 citations Open access
Semantic Scholar
Neural Information Flow: Learning neural information processing systems from brain activity
K. Seeliger, L. Ambrogioni, Umut Güçlü, M. V. van Gerven
20192019 Conference on Cognitive Computational Neuroscience2 citations Open access
Semantic Scholar
Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
L. Ambrogioni, Patrick Ebel, M. Hinne, Umut Güçlü +2 more
2018bioRxiv2 citations Open access
Semantic Scholar
Closing the gap: Exact maximum likelihood training of generative autoencoders using invertible layers
Gianluigi Silvestri, D. Roos, L. Ambrogioni
2022arXiv.org1 citations Open access
Semantic Scholar
Knowledge is reward: Learning optimal exploration by predictive reward cashing
L. Ambrogioni
2021arXiv.org1 citations
Semantic Scholar
Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks
S. Dalm, Nasir Ahmad, L. Ambrogioni, M. V. van Gerven
2021Trans. Mach. Learn. Res.1 citations
Semantic Scholar
Scaling up learning with GAIT-prop
S. Dalm, Nasir Ahmad, L. Ambrogioni, M. V. van Gerven
2021arXiv.org1 citations
Semantic Scholar
Spike-Timing-Dependent Inference of Synaptic Weights
Nasir Ahmad, L. Ambrogioni, M. V. van Gerven
2020arXiv.org1 citations
Semantic Scholar
The Indian Chefs Process
Patrick Dallaire, L. Ambrogioni, Ludovic Trottier, Umut Güçlü +5 more
2020Conference on Uncertainty in Artificial Intelligence1 citations
Semantic Scholar
Temporal Factorization of 3D Convolutional Kernels
Gabrielle Ras, L. Ambrogioni, Umut Güçlü, M. V. van Gerven
2019BNAIC/BENELEARN1 citations
Semantic Scholar
Neural dynamics of perceptual inference and its reversal during imagery
N. Dijkstra, L. Ambrogioni, M. V. van Gerven
2019bioRxiv1 citations Open access
Semantic Scholar
Neural System Identiﬁcation with Cortical Information Flow
L. Ambrogioni, K. Seeliger, Umut Güçlü, M. V. van Gerven
20191 citations
Semantic Scholar
Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes
L. Ambrogioni, E. Maris
20161 citations
Semantic Scholar
Methodological choices influence machine learning performance for predicting intracranial hypertension in traumatic brain injury
Christiaan R. van Kaam, C. Hoedemaekers, K. J. M. Bladder, J. G. van der Hoeven +41 more
2026Scientific Reports0 citations Open access
Semantic Scholar
Whole-brain modeling of dynamic causal circuits in human cognition using amortized variational inference
Byeongwook Lee, Louis Rouillard, L. L. Diniz, Linjing Jiang +7 more
2026bioRxiv0 citations Open access
Semantic Scholar
Biologically Plausible Learning using GAIT-prop Scales to ImageNet
S. Dalm, Nasir Ahmad, L. Ambrogioni, M. V. van Gerven
20220 citations
Semantic Scholar
Hyperrealistic neural decoding: Reconstructing faces from fMRI activations via the GAN latent space
Thirza Dado, Yağmur Güçlütürk, L. Ambrogioni, Gabrielle Ras +4 more
20210 citations
Semantic Scholar

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M. V. van Gerven×22
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M. V. van Gerven — researcher profile on SciRah
Umut Güçlü×21
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M. V. van Gerven×16
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M. V. van Gerven — researcher profile on SciRah
Yağmur Güçlütürk×12
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