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Luca Ambrogioni
Luca Ambrogioni
Donder's institute of Cognition
Zweryfikowany adres z donders.ru.nl
Tytuł
Cytowane przez
Cytowane przez
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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
2012018
Theta oscillations locked to intended actions rhythmically modulate perception
A Tomassini, L Ambrogioni, WP Medendorp, E Maris
Elife 6, e25618, 2017
1172017
Neural dynamics of perceptual inference and its reversal during imagery
N Dijkstra, L Ambrogioni, D Vidaurre, M van Gerven
elife 9, e53588, 2020
832020
Structurally-informed Bayesian functional connectivity analysis
M Hinne, L Ambrogioni, RJ Janssen, T Heskes, MAJ van Gerven
NeuroImage 86, 294-305, 2014
602014
Wasserstein variational inference
L Ambrogioni, U Güçlü, Y Güçlütürk, M Hinne, E Maris, MAJ van Gerven
Neural Information Processing Systems 2018, 2018
572018
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
552017
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, ...
54*
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
492021
Gait-prop: A biologically plausible learning rule derived from backpropagation of error
N Ahmad, MAJ van Gerven, L Ambrogioni
Neural Information Processing Systems, 2020
342020
Spontaneous symmetry breaking in generative diffusion models
G Raya, L Ambrogioni
Advances in Neural Information Processing Systems 36, 66377-66389, 2023
332023
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
332021
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
30*
Complex-valued Gaussian process regression for time series analysis
L Ambrogioni, E Maris
Signal Processing 160, 215-228, 2019
292019
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
242019
In search of dispersed memories: Generative diffusion models are associative memory networks
L Ambrogioni
Entropy 26 (5), 381, 2024
232024
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
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability
L Ambrogioni
arXiv preprint arXiv:2310.17467, 2023
142023
Automatic variational inference with cascading flows
L Ambrogioni, G Silvestri, M van Gerven
International Conference on Machine Learning, 2021
132021
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
132020
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