OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context

P. Wawerek-López; N. M. Bidgoli; P. Frossard; A. Kaup; T. Maugey 

Sequential Representation Learning via Static-Dynamic Conditional Disentanglement

M. C. Simon; P. Frossard; C. D. Vleeschouwer 

High-Quality Reconstruction of Depth Maps From Graph-Based Non-Uniform Sampling

J. Yang; W. Xu; Y. Hou; X. Ye; P. Frossard et al. 

Extending Capabilities of Attention-based Models

Smart Edge for Hierarchical Vision Systems

360Spred: Saliency Prediction for 360-Degree Videos Based on 3D Separable Graph Convolutional Networks

Q. Yang; W. Gao; C. Li; H. Wang; W. Dai et al. 

Hierarchical Training of Deep Neural Networks Using Early Exiting

Y. Sepehri; P. Pad; A. C. Yuzuguler; P. Frossard; A. Dunbar 

Equivariant 3D-conditional diffusion model for molecular linker design

I. Igashov; H. Stärk; C. Vignac; A. Schneuing; V. G. Satorras et al. 

The influence of data on adversarial robustness

Anatomy-Informed Multimodal Learning for Myocardial Infarction Prediction

I. D. Sievering; O. Senouf; T. Mahendiran; D. Nanchen; S. Fournier et al. 

Multi-Frequency Tracking via Group-Sparse Optimal Transport

I. Haasler; F. Elvander 

GRAPH-STRUCTURED TENSOR OPTIMIZATION FOR NONLINEAR DENSITY CONTROL AND MEAN FIELD GAMES

A. Ringh; I. Haasler; Y. Chen; J. Karlsson 

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

J. Yin; J. Shen; R. Chen; W. Li; R. Yang et al. 

Network time series forecasting in photovoltaics power production

Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion

M. Madeira; D. Thanou; P. Frossard 

SzCORE: Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms

J. Dan; U. Pale; A. Amirshahi; W. Cappelletti; T. M. Ingolfsson et al. 

Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems

M. O. Mendonca; P. S. Diniz; J. M. Morales; P. Frossard 

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Q. Yang; Y. Li; C. Li; H. Wang; S. Yan et al. 

Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information

M. Mascherpa; I. Haasler; B. Ahlgren; J. Karlsson 

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

C. He; R. G. d. A. Azevedo; J. Chen; S. Zhu; B. Zeng et al. 

Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence

K. M. Matoba; N. Dimitriadis; F. Fleuret 

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport

I. Haasler; A. Ringh; Y. Chen; J. Karlsson 

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

S. Kim; S. Kim; D. Min; P. Frossard; K. Sohn 

Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

K. Sherratt; H. Gruson; R. Grah; H. Johnson; R. Niehus et al. 

Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning

C. Aguet; J. Jorge; J. Van Zaen; M. Proenca; G. Bonnier et al. 

Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

T. Mahendiran; D. Thanou; O. Senouf; D. Meier; N. Dayer et al. 

Estimating and Improving the Robustness of Attributions in Text

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection

Q. Zheng; A. Venkitaraman; S. Petravic; P. Frossard 

Online Network Source Optimization with Graph-Kernel MAB

L. Toni; P. Frossard