Browsing by Author "Ambrogioni, L."

End-to-end neural system identification with neural information flow

Seeliger, K. ; Ambrogioni, L. ; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van

2021, Article / Letter to editor (Plos Computational Biology, vol. 17, iss. 2, (2021), article e1008558)

Neural dynamics of perceptual inference and its reversal during imagery

Dijkstra, N. ; Ambrogioni, L. ; Vidaurre, D.; Gerven, M.A.J. van

2020, Article / Letter to editor (Elife, vol. 9, (2020), article e53588)

The Indian chefs process

Dallaire, P.; Ambrogioni, L. ; Trottier, L.; Güçlü, U. ; Hinne, M. ; Giguère, P.; Chaib-Draa, B.; Gerven, M.A.J. van ; Laviolette, F.

2020, Article / Letter to editor (Proceedings of Machine Learning Research, vol. 124, (2020), pp. 600-608)

Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

Berezutskaya, Y. ; Freudenburg, Z.V. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.

2020, Article / Letter to editor (Scientific Reports, vol. 10, (2020), article 12077)

Gaussian processes and beyond: From dynamical modeling to statistical signal processing

Ambrogioni, L.

2019, Dissertation

SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity

Ambrogioni, L. ; Ebel, P.W.; Hinne, M. ; Güçlü, U. ; Gerven, M.A.J. van ; Maris, E.G.G.

2019, Article in monograph or in proceedings (Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 787-795)

Segmentation of photovoltaic panels in aerial photography using group equivariant FCNs

Bokkers, L.A.R. ; Ambrogioni, L. ; Güçlü, U.

2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-11)

Temporal factorization of 3D convolutional kernels

Ras, G.E.H. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-9)

Complex-valued Gaussian process regression for time series analysis

Ambrogioni, L. ; Maris, E.G.G.

2019, Article / Letter to editor (Signal Processing, vol. 160, (2019), pp. 215-228)

Forward amortized inference for likelihood-free variational marginalization

Ambrogioni, L. ; Güçlü, U. ; Berezutskaya, Y. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Hinne, M. ; Maris, E.G.G. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 777-786)

Neural information flow: Learning neural information processing systems from brain activity

Seeliger, K. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 717-720)

Wasserstein variational inference

Ambrogioni, L. ; Güçlü, U. ; Güçlütürk, Y. ; Hinne, M. ; Gerven, M.A.J. van ; Maris, E.G.G.

2018, Article in monograph or in proceedings (Bengio, S.; Wallach, H.M.; Larochelle, H. (ed.), Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 2478-2487)

Generative adversarial networks for reconstructing natural images from brain activity

Seeliger, K. ; Güçlü, U. ; Ambrogioni, L. ; Güçlütürk, Y. ; Gerven, M.A.J. van

2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)

Algorithmic composition of polyphonic music with the WaveCRF

Güçlü, U. ; Güçlütürk, Y. ; Ambrogioni, L. ; Maris, E.G.G. ; Lier, R.J. van ; Gerven, M.A.J. van

2017, Article in monograph or in proceedings (2017 Neural Information Processing Systems (NIPS): Machine Learning for Creativity and Design Workshop (December 8, 2017), pp. 1-3)

Theta oscillations locked to intended actions rhythmically modulate perception

Tomassini, A. ; Ambrogioni, L. ; Medendorp, W.P. ; Maris, E.G.G.

2017, Article / Letter to editor (Elife, vol. 6, (2017), article e25618)

GP CaKe: Effective brain connectivity with causal kernels

Ambrogioni, L. ; Hinne, M. ; Gerven, M.A.J. van ; Maris, E.G.G.

2017, Article in monograph or in proceedings (Guyon, I.; Luxburg, U.V.; Bengio, S. (ed.), Advances in Neural Information Processing Systems 30 (NIPS 2017), pp. 951-960)

Dynamic decomposition of spatiotemporal neural signals

Ambrogioni, L. ; Gerven, M.A.J. van ; Maris, E.G.G.

2017, Article / Letter to editor (Plos Computational Biology, vol. 13, iss. 5, (2017), article e1005540)

Theta oscillations locked to intended actions rhythmically modulate perception

Tomassini, A. ; Ambrogioni, L. ; Medendorp, W.P. ; Maris, E.G.G.

2017, Dataset

Bayesian model ensembling using meta-trained recurrent neural networks

Ambrogioni, L. ; Berezutskaya, Y. ; Güçlü, U. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Gerven, M.A.J. van ; Maris, E.G.G.

2017, Article in monograph or in proceedings (Workshop on Meta-Learning (MetaLearn 2017) - Neural Information Processing Systems (NIPS 2017), pp. 1-5)

Structurally-informed Bayesian functional connectivity analysis

Hinne, M. ; Ambrogioni, L. ; Janssen, R.J. ; Heskes, T. ; Gerven, M.A.J. van

2014, Article / Letter to editor (NeuroImage, vol. 86, (2014), pp. 294-305)

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