Davide Zambrano

According to our database, Davide Zambrano authored at least 22 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.

Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

CoRR, 2023

DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings.

Maxime Istasse, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano

Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023

2022

How to compete with robots by assessing job automation risks and resilient alternatives.

Antonio Paolillo, Fabrizio Colella, Nicola Nosengo, Fabrizio Schiano, William J. Stewart, Davide Zambrano, Isabelle Chappuis, Rafael Lalive, Dario Floreano

Sci. Robotics, 2022

Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention.

Lynn K. A. Sörensen, Davide Zambrano, Heleen A. Slagter, Sander M. Bohté, H. Steven Scholte

J. Cogn. Neurosci., 2022

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.

Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

CoRR, 2022

Autonomous Detection and Deterrence of Pigeons on Buildings by Drones.

Fabrizio Schiano, Dominik Natter, Davide Zambrano, Dario Floreano

IEEE Access, 2022

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations.

Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano

Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

2021

Learning continuous-time working memory tasks with on-policy neural reinforcement learning.

Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté

Neurocomputing, 2021

Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots.

Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2018

An image representation based convolutional network for DNA classification.

Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté

Proceedings of the 6th International Conference on Learning Representations, 2018

Gating Sensory Noise in a Spiking Subtractive LSTM.

Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander M. Bohté

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks.

Marios Karamanis, Davide Zambrano, Sander M. Bohté

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Efficient Computation in Adaptive Artificial Spiking Neural Networks.

Davide Zambrano, Roeland Nusselder, H. Steven Scholte, Sander M. Bohté

CoRR, 2017

2016

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks.

Davide Zambrano, Sander M. Bohté

CoRR, 2016

2015

Continuous-time on-policy neural Reinforcement Learning of working memory tasks.

Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Towards a Neuromorphic Vestibular System.

Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri

IEEE Trans. Biomed. Circuits Syst., 2014

Spiking AGREL.

Davide Zambrano, Jaldert O. Rombouts, Cecilia Laschi, Sander M. Bohté

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Implementation of a neuromorphic vestibular sensor with analog VLSI neurons.

Giovanni Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, Cecilia Laschi, Giacomo Indiveri

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

Gaze control modelling and robotic implementation.

Davide Zambrano

PhD thesis, 2012

2010

Implementation of a bio-inspired visual tracking model on the iCub robot.

Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi

Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010

A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot.

Elena Franchi, Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi

Proceedings of the 10th IEEE-RAS International Conference on Humanoid Robots, 2010

2009

Predictive tracking across occlusions in the iCub robot.

Egidio Falotico, Matteo Taiana, Davide Zambrano, Alexandre Bernardino, José Santos-Victor, Paolo Dario, Cecilia Laschi

Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009