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Edwige Cyffers

Alexandra Volkova

Peter Sukenik

Fabian Kresse

Christoph Lampert

Max Cairney-Leeming

Nikita Kalinin

Egor Zverev

Jonathan Scott

Hossein Zakerinia

Alexander Kolesnikov

Paul Henderson

Alexander Zimin

Csaba Domokos

Bernd Prach

Anastasia Pentina

Georg Martius

Daniel Pucher

Emilie Morvant

Mary Phuong

Filip Korc

Viktoriia Sharmanska

Alexandra Krumes

Johannes Dostal

Amélie Royer

Volhejn, Vaclav

Nikola Konstantinov



133 Publications

2015 | Published | Conference Paper | IST-REx-ID: 1857 | OA
Curriculum learning of multiple tasks
A. Pentina, V. Sharmanska, C. Lampert, in:, IEEE, 2015, pp. 5492–5500.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2015 | Published | Conference Paper | IST-REx-ID: 1706 | OA
Multi-task and lifelong learning of kernels
A. Pentina, S. Ben David, in:, Springer, 2015, pp. 194–208.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2015 | Published | Journal Article | IST-REx-ID: 1570 | OA
Novel plasticity rule can explain the development of sensorimotor intelligence
R. Der, G.S. Martius, PNAS 112 (2015) E6224–E6232.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | PubMed | Europe PMC
 
2015 | Published | Journal Article | IST-REx-ID: 1655 | OA
Quantifying emergent behavior of autonomous robots
G.S. Martius, E. Olbrich, Entropy 17 (2015) 7266–7297.
[Published Version] View | Files available | DOI | WoS
 
2015 | Published | Journal Article | IST-REx-ID: 1533
Segmentation over detection via optimal sparse reconstructions
W. Xia, C. Domokos, J. Xiong, L. Cheong, S. Yan, IEEE Transactions on Circuits and Systems for Video Technology 25 (2015) 1295–1308.
View | DOI | WoS
 
2015 | Published | Conference Paper | IST-REx-ID: 12881 | OA
Quantifying self-organizing behavior of autonomous robots
G.S. Martius, E. Olbrich, in:, Proceedings of the 13th European Conference on Artificial Life, MIT Press, 2015, p. 78.
[Published Version] View | Files available | DOI | WoS
 
2014 | Published | Book Chapter | IST-REx-ID: 1829
Movement templates for learning of hitting and batting
K. Muelling, O. Kroemer, C. Lampert, B. Schölkopf, in:, J. Kober, J. Peters (Eds.), Learning Motor Skills, Springer, 2014, pp. 69–82.
View | DOI
 
2014 | Published | Conference Paper | IST-REx-ID: 2160 | OA
A PAC-Bayesian bound for Lifelong Learning
A. Pentina, C. Lampert, in:, ML Research Press, 2014, pp. 991–999.
[Submitted Version] View | Download Submitted Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2189 | OA
Adaptation de domaine de vote de majorité par auto-étiquetage non itératif
E. Morvant, in:, Elsevier, 2014, pp. 49–58.
[Preprint] View | Download Preprint (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2057 | OA
Majority vote of diverse classifiers for late fusion
E. Morvant, A. Habrard, S. Ayache, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 153–162.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2014 | Published | Conference Paper | IST-REx-ID: 2173 | OA
CoConut: Co-classification with output space regularization
S. Khamis, C. Lampert, in:, Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.
[Published Version] View | Files available
 
2014 | Published | Conference Paper | IST-REx-ID: 2033 | OA
Mind the nuisance: Gaussian process classification using privileged noise
D. Hernandez Lobato, V. Sharmanska, K. Kersting, C. Lampert, N. Quadrianto, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2014, pp. 837–845.
[Submitted Version] View | Download Submitted Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2171 | OA
Closed-form approximate CRF training for scalable image segmentation
A. Kolesnikov, M. Guillaumin, V. Ferrari, C. Lampert, in:, D. Fleet, T. Pajdla, B. Schiele, T. Tuytelaars (Eds.), Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2014, pp. 550–565.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | arXiv
 
2014 | Published | Conference Paper | IST-REx-ID: 2051 | OA
Multilabel structured output learning with random spanning trees of max-margin Markov networks
M. Marchand, S. Hongyu, E. Morvant, J. Rousu, J. Shawe Taylor, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2014.
[Published Version] View | Download Published Version (ext.)
 
2014 | Published | Conference Paper | IST-REx-ID: 2172
Deep Fisher Kernels – End to end learning of the Fisher Kernel GMM parameters
V. Sydorov, M. Sakurada, C. Lampert, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2014, pp. 1402–1409.
View | DOI | WoS
 
2014 | Published | Journal Article | IST-REx-ID: 2180 | OA
Learning a priori constrained weighted majority votes
A. Bellet, A. Habrard, E. Morvant, M. Sebban, Machine Learning 97 (2014) 129–154.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2013 | Published | Conference Paper | IST-REx-ID: 2520 | OA
The supervised IBP: Neighbourhood preserving infinite latent feature models
N. Quadrianto, V. Sharmanska, D. Knowles, Z. Ghahramani, in:, Proceedings of the 29th Conference Uncertainty in Artificial Intelligence, AUAI Press, 2013, pp. 527–536.
[Submitted Version] View | Files available
 
2013 | Published | Conference Paper | IST-REx-ID: 2948 | OA
Beyond dataset bias: Multi-task unaligned shared knowledge transfer
T. Tommasi, N. Quadrianto, B. Caputo, C. Lampert, 7724 (2013) 1–15.
[Submitted Version] View | Files available | DOI
 
2013 | Published | Encyclopedia Article | IST-REx-ID: 3321
Kernel based learning
N. Quadrianto, C. Lampert, in:, W. Dubitzky, O. Wolkenhauer, K. Cho, H. Yokota (Eds.), Encyclopedia of Systems Biology, Springer, 2013, pp. 1069–1069.
View | DOI
 
2013 | Published | Conference Paper | IST-REx-ID: 2901 | OA
Computing the M most probable modes of a graphical model
C. Chen, V. Kolmogorov, Z. Yan, D. Metaxas, C. Lampert, in:, JMLR, 2013, pp. 161–169.
View | Download None (ext.)
 

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