Arturo Marbán

According to our database, Arturo Marbán authored at least 16 papers between 2013 and 2022.

Collaborative distances:

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

2022

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding.

Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek

IEEE Trans. Netw. Sci. Eng., 2022

2021

Robustifying models against adversarial attacks by Langevin dynamics.

Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

Neural Networks, 2021

2020

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Heiko Schwarz, Thomas Wiegand, Detlev Marpe, Wojciech Samek

IEEE J. Sel. Top. Signal Process., 2020

Communication-Efficient Federated Distillation.

Felix Sattler, Arturo Marbán, Roman Rischke, Wojciech Samek

CoRR, 2020

Dependent Scalar Quantization For Neural Network Compression.

Paul Haase, Heiko Schwarz, Heiner Kirchhoffer, Simon Wiedemann, Talmaj Marinc, Arturo Marbán, Karsten Müller, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the IEEE International Conference on Image Processing, 2020

Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T).

Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Tung Nguyen, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019

DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression.

Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage, Paul Haase, Arturo Marbán, Talmaj Marinc, David Neumann, Ahmed Osman, Detlev Marpe, Heiko Schwarz, Thomas Wiegand, Wojciech Samek

CoRR, 2019

A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Biomed. Signal Process. Control., 2019

Entropy-Constrained Training of Deep Neural Networks.

Simon Wiedemann, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Vision based sensor substitution in robotic assisted surgery.

Arturo Marbán

PhD thesis, 2018

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

CoRR, 2018

Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2014

A recurrent neural network approach for 3D vision-based force estimation.

Angelica I. Avilés, Arturo Marbán, Pilar Sobrevilla, Josep Fernández, Alicia Casals

Proceedings of the 4th International Conference on Image Processing Theory, 2014

2013

Haptic Feedback in Surgical Robotics: Still a Challenge.

Arturo Marbán, Alicia Casals, Josep Fernández, Josep Amat

Proceedings of the ROBOT 2013: First Iberian Robotics Conference, 2013