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Luca Ambrogioni
Luca Ambrogioni
Donder's institute of Cognition
Geverifieerd e-mailadres voor donders.ru.nl
Titel
Geciteerd door
Geciteerd door
Jaar
Generative adversarial networks for reconstructing natural images from brain activity
K Seeliger, U Güçlü, L Ambrogioni, Y Güçlütürk, MAJ Van Gerven
NeuroImage 181, 775-785, 2018
1862018
Theta oscillations locked to intended actions rhythmically modulate perception
A Tomassini, L Ambrogioni, WP Medendorp, E Maris
Elife 6, e25618, 2017
1122017
Neural dynamics of perceptual inference and its reversal during imagery
N Dijkstra, L Ambrogioni, D Vidaurre, M van Gerven
elife 9, e53588, 2020
802020
Structurally-informed Bayesian functional connectivity analysis
M Hinne, L Ambrogioni, RJ Janssen, T Heskes, MAJ van Gerven
NeuroImage 86, 294-305, 2014
582014
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, E Maris, MAJ van Gerven
Neural Information Processing Systems 2018, 2018
532018
The kernel mixture network: A nonparametric method for conditional density estimation of continuous random variables
L Ambrogioni, U Güçlü, MAJ van Gerven, E Maris
arXiv preprint arXiv:1705.07111, 2017
522017
Hyperrealistic neural decoding: Reconstruction of face stimuli from fMRI measurements via the GAN latent space
T Dado, Y Güçlütürk, L Ambrogioni, G Ras, SE Bosch, M van Gerven, ...
48*
End-to-end neural system identification with neural information flow
K Seeliger, L Ambrogioni, Y Güçlütürk, LM van den Bulk, U Güçlü, ...
PLOS Computational Biology 17 (2), e1008558, 2021
452021
Gait-prop: A biologically plausible learning rule derived from backpropagation of error
N Ahmad, MAJ van Gerven, L Ambrogioni
Neural Information Processing Systems, 2020
332020
Automatic structured variational inference
L Ambrogioni, K Lin, E Fertig, S Vikram, M Hinne, D Moore, M van Gerven
International Conference on Artificial Intelligence and Statistics, 676-684, 2021
322021
Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity
L Le, L Ambrogioni, K Seeliger, Y Güç Lütürk, M Van Gerven, U Güç Lü
Frontiers in Neuroscience, 1684, 0
25*
Complex-valued Gaussian process regression for time series analysis
L Ambrogioni, E Maris
Signal Processing 160, 215-228, 2019
212019
Forward amortized inference for likelihood-free variational marginalization
L Ambrogioni, U Güçlü, J Berezutskaya, E van den Borne, Y Güçlütürk, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
212019
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference
L Ambrogioni, U Guclu, M van Gerven
Bayesian Deep Learning workshop. NeurIPS, 2018
162018
GP CaKe: Effective brain connectivity with causal kernels
L Ambrogioni, M Hinne, M Van Gerven, E Maris
Neural Information Processing Systems 2017, 2017
162017
Spontaneous symmetry breaking in generative diffusion models
G Raya, L Ambrogioni
Advances in Neural Information Processing Systems 36, 2024
142024
Automatic variational inference with cascading flows
L Ambrogioni, G Silvestri, M van Gerven
International Conference on Machine Learning, 2021
122021
Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
J Berezutskaya, ZV Freudenburg, L Ambrogioni, U Güçlü, ...
Scientific reports 10 (1), 12077, 2020
122020
Integral transforms from finite data: An application of gaussian process regression to fourier analysis
L Ambrogioni, E Maris
International Conference on Artificial Intelligence and Statistics, 217-225, 2018
112018
Dynamic Decomposition of Spatiotemporal Neural Signals
L Ambrogioni, van Gerven Marcel A.J., E Maris
PLoS Computational Biology, 2016
112016
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Artikelen 1–20