Haptic Feedback in Surgical Robotics: Still a Challenge. - Arturo Marbán; Alicia Casals; Josep Fernández; Josep Amat (ROBOT (1), 2013)

A recurrent neural network approach for 3D vision-based force estimation. - Angelica I. Avilés; Arturo Marbán; Pilar Sobrevilla; Josep Fernández; Alicia Casals (IPTA, 2014)

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 (ICCV Workshops, 2017)

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 (IROS, 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)

Vision based sensor substitution in robotic assisted surgery. - Arturo Marbán (2018)

Entropy-Constrained Training of Deep Neural Networks. - Simon Wiedemann; Arturo Marbán; Klaus-Robert Müller; Wojciech Samek (IJCNN, 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)

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 001; Wojciech Samek (CoRR, 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 001; Ahmed Osman; Detlev Marpe; Heiko Schwarz; Thomas Wiegand 001; et al. (CoRR, 2019)

Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T). - Arturo Marbán; Daniel Becking; Simon Wiedemann; Wojciech Samek (CVPR Workshops, 2020)

Dependent Scalar Quantization For Neural Network Compression. - Paul Haase; Heiko Schwarz; Heiner Kirchhoffer; Simon Wiedemann; Talmaj Marinc; Arturo Marbán; Karsten Müller 001; Wojciech Samek; Detlev Marpe; Thomas Wiegand 001 (ICIP, 2020)

Communication-Efficient Federated Distillation. - Felix Sattler; Arturo Marbán; Roman Rischke; Wojciech Samek (CoRR, 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 001; Heiko Schwarz; Thomas Wiegand 001; Detlev Marpe; Wojciech Samek (IEEE J. Sel. Top. Signal Process., 2020)

Robustifying models against adversarial attacks by Langevin dynamics. - Vignesh Srinivasan; Csaba Rohrer; Arturo Marbán; Klaus-Robert Müller; Wojciech Samek; Shinichi Nakajima (Neural Networks, 2021)

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)