Taco S. Cohen

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 45

Top Topics

Visual Representations

Geometric Algebra

Nodule Detection

Top Venues

Publications

Johann Brehmer, Joey Bose, Pim de Haan, Taco S. Cohen
EDGI: Equivariant Diffusion for Planning with Embodied Agents. NeurIPS (2023)
Johann Brehmer, Pim de Haan, Sönke Behrends, Taco S. Cohen
Geometric Algebra Transformer. NeurIPS (2023)
Arash Behboodi, Gabriele Cesa, Taco S. Cohen
A PAC-Bayesian Generalization Bound for Equivariant Networks. NeurIPS (2022)
Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S. Cohen
Region-of-Interest Based Neural Video Compression. BMVC (2022)
Gabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane. NeurIPS (2022)
Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S. Cohen
Region-of-Interest Based Neural Video Compression. CoRR (2022)
Johann Brehmer, Pim de Haan, Phillip Lippe, Taco S. Cohen
Weakly supervised causal representation learning. NeurIPS (2022)
Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Progressive Neural Image Compression with Nested Quantization and Latent Ordering. CoRR (2021)
Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Progressive Neural Image Compression With Nested Quantization And Latent Ordering. ICIP (2021)
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
Skip-Convolutions for Efficient Video Processing. CoRR (2021)
Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi
Skip-Convolutions for Efficient Video Processing. CVPR (2021)
Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Taco S. Cohen
Instance-Adaptive Video Compression: Improving Neural Codecs by Training on the Test Set. CoRR (2021)
Reza Pourreza, Taco S. Cohen
Extending Neural P-frame Codecs for B-frame Coding. CoRR (2021)
Ties van Rozendaal, Iris A. M. Huijben, Taco S. Cohen
Overfitting for Fun and Profit: Instance-Adaptive Data Compression. CoRR (2021)
Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Z. Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces. CoRR (2021)
Ankitesh K. Singh, Hilmi E. Egilmez, Reza Pourreza, Muhammed Z. Coban, Marta Karczewicz, Taco S. Cohen
A Combined Deep Learning based End-to-End Video Coding Architecture for YUV Color Space. CoRR (2021)
Pim de Haan, Taco S. Cohen, Max Welling
Natural Graph Networks. NeurIPS (2020)
Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen
Feedback Recurrent Autoencoder. ICASSP (2020)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. ACCV (4) (2020)
Adam Golinski, Reza Pourreza, Yang Yang, Guillaume Sautière, Taco S. Cohen
Feedback Recurrent Autoencoder for Video Compression. CoRR (2020)
Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen
Lossy Compression with Distortion Constrained Optimization. CVPR Workshops (2020)
Emiel Hoogeboom, Taco S. Cohen, Jakub M. Tomczak
Learning Discrete Distributions by Dequantization. CoRR (2020)
Ties van Rozendaal, Guillaume Sautière, Taco S. Cohen
Lossy Compression with Distortion Constrained Optimization. CoRR (2020)
Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling
A Data and Compute Efficient Design for Limited-Resources Deep Learning. CoRR (2020)
AmirHossein Habibian, Ties van Rozendaal, Jakub M. Tomczak, Taco S. Cohen
Video Compression With Rate-Distortion Autoencoders. CoRR (2019)
Taco S. Cohen, Maurice Weiler, Berkay Kicanaoglu, Max Welling
Gauge Equivariant Convolutional Networks and the Icosahedral CNN. CoRR (2019)
Marysia Winkels, Taco S. Cohen
Pulmonary nodule detection in CT scans with equivariant CNNs. Medical Image Anal. 55 (2019)
Taco S. Cohen, Mario Geiger, Maurice Weiler
A General Theory of Equivariant CNNs on Homogeneous Spaces. NeurIPS (2019)
Yang Yang, Guillaume Sautière, J. Jon Ryu, Taco S. Cohen
Feedback Recurrent AutoEncoder. CoRR (2019)
Miranda C. N. Cheng, Vassilis Anagiannis, Maurice Weiler, Pim de Haan, Taco S. Cohen, Max Welling
Covariance in Physics and Convolutional Neural Networks. CoRR (2019)
Marysia Winkels, Taco S. Cohen
3D G-CNNs for Pulmonary Nodule Detection. CoRR (2018)
Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
Spherical CNNs. CoRR (2018)
Jasper Linmans, Jim Winkens, Bastiaan S. Veeling, Taco S. Cohen, Max Welling
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks. CoRR (2018)
Luca Falorsi, Pim de Haan, Tim R. Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, Taco S. Cohen
Explorations in Homeomorphic Variational Auto-Encoding. CoRR (2018)
Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
Spherical CNNs. ICLR (2018)
Emiel Hoogeboom, Jorn W. T. Peters, Taco S. Cohen, Max Welling
HexaConv. ICLR (Poster) (2018)
Emiel Hoogeboom, Jorn W. T. Peters, Taco S. Cohen, Max Welling
HexaConv. CoRR (2018)
Taco S. Cohen, Mario Geiger, Maurice Weiler
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks). CoRR (2018)
Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. ICLR (Poster) (2017)
Taco S. Cohen, Max Welling
Steerable CNNs. ICLR (Poster) (2017)
Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. CoRR (2017)
A. Eck, Luisa M. Zintgraf, E. F. J. de Groot, Tim G. J. de Meij, Taco S. Cohen, P. H. M. Savelkoul, Max Welling, A. E. Budding
Interpretation of microbiota-based diagnostics by explaining individual classifier decisions. BMC Bioinform. 18 (1) (2017)
Luisa M. Zintgraf, Taco S. Cohen, Max Welling
A New Method to Visualize Deep Neural Networks. CoRR (2016)
Taco S. Cohen, Max Welling
Group Equivariant Convolutional Networks. CoRR (2016)
Taco S. Cohen, Max Welling
Steerable CNNs. CoRR (2016)
Taco S. Cohen, Max Welling
Transformation Properties of Learned Visual Representations. ICLR (Poster) (2015)