Davide Zambrano

27 papers A 1B 3Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective.
CoRR
Robert-Jan Bruintjes, Attila Lengyel, Osman Semih Kayhan, Davide Zambrano, Nergis Tömen, Hadi Jamali Rad, Jan van Gemert
2024 J jnl
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2023 — conf
DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings.
MMSports@MM
Maxime Istasse, Vladimir Somers, Pratheeban Elancheliyan, Jaydeep De, Davide Zambrano
2023 J jnl
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2022 J jnl
Autonomous Detection and Deterrence of Pigeons on Buildings by Drones.
IEEE Access
Fabrizio Schiano, Dominik Natter, Davide Zambrano, Dario Floreano
2022 — conf
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations.
MMSports@MM
Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano
2022 J jnl
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations.
CoRR
Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano
2022 J jnl
How to compete with robots by assessing job automation risks and resilient alternatives.
Sci. Robotics
Antonio Paolillo, Fabrizio Colella, Nicola Nosengo, Fabrizio Schiano, William J. Stewart, Davide Zambrano, Isabelle Chappuis, Rafael Lalive, Dario Floreano
2022 J jnl
Leveraging Spiking Deep Neural Networks to Understand the Neural Mechanisms Underlying Selective Attention.
J. Cogn. Neurosci.
Lynn K. A. Sörensen, Davide Zambrano, Heleen A. Slagter, Sander M. Bohté, H. Steven Scholte
2022 J jnl
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.
CoRR
Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2021 J jnl
Learning continuous-time working memory tasks with on-policy neural reinforcement learning.
Neurocomputing
Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté
2021 J jnl
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots.
CoRR
Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano
2021 A conf
Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots.
GECCO
Enrico Zardini, Davide Zappetti, Davide Zambrano, Giovanni Iacca, Dario Floreano
2018 — conf
An image representation based convolutional network for DNA classification.
ICLR (Poster)
Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté
2018 J jnl
An image representation based convolutional network for DNA classification.
CoRR
Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté
2018 — conf
Continuous-Time Spike-Based Reinforcement Learning for Working Memory Tasks.
ICANN (2)
Marios Karamanis, Davide Zambrano, Sander M. Bohté
2018 — conf
Gating Sensory Noise in a Spiking Subtractive LSTM.
ICANN (1)
Isabella Pozzi, Roeland Nusselder, Davide Zambrano, Sander M. Bohté
2017 J jnl
Efficient Computation in Adaptive Artificial Spiking Neural Networks.
CoRR
Davide Zambrano, Roeland Nusselder, H. Steven Scholte, Sander M. Bohté
2016 J jnl
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks.
CoRR
Davide Zambrano, Sander M. Bohté
2015 B conf
Continuous-time on-policy neural Reinforcement Learning of working memory tasks.
IJCNN
Davide Zambrano, Pieter R. Roelfsema, Sander M. Bohté
2014 B conf
Spiking AGREL.
ESANN
Davide Zambrano, Jaldert O. Rombouts, Cecilia Laschi, Sander M. Bohté
2014 J jnl
Towards a Neuromorphic Vestibular System.
IEEE Trans. Biomed. Circuits Syst.
Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri
2013 — conf
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons.
BioCAS
Giovanni Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, Cecilia Laschi, Giacomo Indiveri
2012 — —
Gaze control modelling and robotic implementation.
Davide Zambrano
2010 — conf
A comparison between two bio-inspired adaptive models of Vestibulo-Ocular Reflex (VOR) implemented on the iCub robot.
Humanoids
Elena Franchi, Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi
2010 B conf
Implementation of a bio-inspired visual tracking model on the iCub robot.
RO-MAN
Egidio Falotico, Davide Zambrano, Giovanni Gerardo Muscolo, Laura Marazzato, Paolo Dario, Cecilia Laschi
2009 — conf
Predictive tracking across occlusions in the iCub robot.
Humanoids
Egidio Falotico, Matteo Taiana, Davide Zambrano, Alexandre Bernardino, José Santos-Victor, Paolo Dario, Cecilia Laschi