David Colliaux

According to our database, David Colliaux authored at least 12 papers between 2007 and 2023.

Collaborative distances:

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

2023

Reinforcement learning with space carving for plant scanning.

Antonio Pico Villalpando, Matthias Kubisch, David Colliaux, Peter Hanappe, Verena V. Hafner

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Continual Learning with Deep Streaming Regularized Discriminant Analysis.

Joe Khawand, Peter Hanappe, David Colliaux

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Models for the Computational Design of Microfarms.

David Colliaux, Pietro Gravino, Peter Hanappe, Julian Talbot, Pascal Viot

Proceedings of the Complex Computational Ecosystems - First International Conference, 2023

2021

Intrinsic motivation and episodic memories for robot exploration of high-dimensional sensory spaces.

Guido Schillaci, Antonio Pico Villalpando, Verena V. Hafner, Peter Hanappe, David Colliaux, Timothée Wintz

Adapt. Behav., 2021

Multi-scale Space-time Registration of Growing Plants.

Haolin Pan, Franck Hétroy-Wheeler, Julie Charlaix, David Colliaux

Proceedings of the International Conference on 3D Vision, 2021

2017

Cell signaling as a probabilistic computer.

David Colliaux, Pierre Bessière, Jacques Droulez

Int. J. Approx. Reason., 2017

2015

Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

David Colliaux, Pierre Yger, Kunihiko Kaneko

J. Comput. Neurosci., 2015

Toward Biochemical Probabilistic Computation.

Jacques Droulez, David Colliaux, Audrey Houillon, Pierre Bessière

CoRR, 2015

Probing models of minimal swimming vehicules in vivo with microalgae phototaxis.

David Colliaux, Lia Giraud, Claude Yéprémian, Pierre Bessière, Jacques Droulez

Proceedings of the Thirteenth European Conference Artificial Life, 2015

2014

Robust sequence storage in bistable oscillators.

David Colliaux, Pierre Bessière, Jacques Droulez

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014

2008

Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model.

Colin Molter, David Colliaux, Yoko Yamaguchi

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Working Memory Dynamics in a Flip-Flop Oscillations Network Model with Milnor Attractor.

David Colliaux, Yoko Yamaguchi, Colin Molter, Hiroaki Wagatsuma

Proceedings of the Neural Information Processing, 14th International Conference, 2007