Exploring quantum perceptron and quantum neural network structures with a teacher-student scheme

A. Gratsea; P. Huembeli 

Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement

A. Momeni; R. Fleury 

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

V. Pandiyan; R. Drissi-Daoudi; S. Shevchik; G. Masinelli; Tri Le-Quang et al. 

An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

A. Heidari; F. Marechal; D. Khovalyg 

ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning

J. A. H. Klein; i. Boybat; Y. M. Qureshi; M. Dazzi; A. S. J. Levisse et al. 

Impact and implications of mixed plaque class in automated characterization of complex atherosclerotic lesions

M. L. Olender; Y. Niu; D. Marlevi; E. R. Edelman; F. R. Nezami 

Exploiting environmental signals to enable policy correlation in large-scale decentralized systems

P. Danassis; Z. D. Erden; B. Faltings 

Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI

F. La Rosa; E. S. Beck; J. Maranzano; R-A. Todea; P. van Gelderen et al. 

Wind-Topo: Downscaling near-surface wind fields to high-resolution topography in highly complex terrain with deep learning

J. Dujardin; M. Lehning 

Learnable filter-banks for CNN-based audio applications

H. Peic Tukuljac; B. Ricaud; N. Aspert; L. Colbois 

A Deep-Learning Approach to Side-Channel Based CPU Disassembly at Design Time

H. Fendri; M. Macchetti; J. Perrine; M. Stojilovic 

CryoETGAN: Cryo-Electron Tomography Image Synthesis via Unpaired Image Translation

X. Wu; C. Li; X. Zeng; H. Wei; H-W. Deng et al. 

Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations

R. Ignatans; M. Ziatdinov; R. Vasudevan; M. Valleti; V. Tileli et al. 

Statistical distortion of supervised learning predictions in optical microscopy induced by image compression

E. Pomarico; C. Schmidt; F. Chays; D. Nguyen; A. Planchette et al. 

A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices

V. Uhlmann; L. Donati; D. Sage 

Semi-supervised Active Salient Object Detection

Y. Lv; B. Liu; J. Zhang; Y. Dai; A. Li et al. 

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

S. Sadrizadeh; H. Otroshi-Shahreza; F. Marvasti 

Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers

D. M. Sima; M. Bach Cuadra; T. B. Dyrby; K. Van Leemput 

Magnetic control of tokamak plasmas through deep reinforcement learning

J. Degrave; F. Felici; J. Buchli; M. Neunert; B. Tracey et al. 

High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning

J. Zhang; M. L. Perrin; L. Barba; J. Overbeck; S. Jung et al. 

Automatic table detection and classification in large-scale newspaper archives

A. Vernet 

Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia EDR3 stars brighter than G=18.5

F. Anders; A. Khalatyan; A. B. A. Queiroz; C. Chiappini; J. Ardevol et al. 

Deep Learning Detection of GPS Spoofing

O. Jullian; B. Otero; M. Stojilović; J. J. Costa; J. Verdú et al. 

Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques

L. Yao; B. Zhu; M. Shoaran 

Align, then memorise: the dynamics of learning with feedback alignment*

M. Refinetti; S. D’Ascoli; R. Ohana; S. Goldt 

Is Your Time Well Spent Online?: Focusing on Quality Experiences Through a User-Centered Recommendation Algorithm and Simulation Model

R. Islambouli; S. Ingram; D. Gillet 

New particle formation event detection with Mask R-CNN

P. Su; J. Joutsensaari; L. Dada; M. A. Zaidan; T. Nieminen et al. 

Learning to image and compute with multimode optical fibers

B. Rahmani; I. Oguz; U. Tegin; J-l. Hsieh; D. Psaltis et al. 

Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

H. Bretonniere; M. Huertas-Company; A. Boucaud; F. Lanusse; E. Jullo et al. 

Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities

C. Persello; J. D. Wegner; R. Haensch; D. Tuia; P. Ghamisi et al. 

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration

M. El Helou; S. Süsstrunk 

Learning to sample in Cartesian MRI

Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Graph Representation Learning with Optimal Transport: Analysis and Applications

Using Animal Motion Capture to Learn Neural Representations

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Deep learning accelerated prediction of the permeability of fibrous microstructures

B. Caglar; G. Broggi; M. A. Ali; L. Orgéas; V. Michaud 

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Sparsest Univariate Learning Models Under Lipschitz Constraint

S. Aziznejad; T. Debarre; M. Unser 

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Targeting molecular surfaces to engineer novel protein-based immunogens and inhibitors

Essays in Empirical Asset Pricing

Reshaping Perception for Autonomous Driving with Semantic Keypoints

Learning of physical systems: from inference to control

Learning to Align Sequential Actions in the Wild

W. Liu; B. Tekin; H. Coskun; V. Vineet; P. Fua et al. 

TEE-based decentralized recommender systems: The raw data sharing redemption

A. Dhasade; N. Dresevic; A-M. Kermarrec; R. Pires 

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Vision-based Flocking in Aerial Robot Swarms

Textual Explanations and Critiques in Recommendation Systems

Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

D. Guo; T. Mordan; A. Alahi 

Encoder-Decoder Models for Human Segmentation and Motion Analysis

Learning to Represent and Reconstruct 3D Deformable Objects

Graph Representation Learning in Computational Pathology

Controllability and Interpretability in Affective Speech Synthesis

Scalable Multi-agent Coordination and Resource Sharing

Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization

T. R. Lane; F. Urbina; L. Rank; J. Gerlach; O. Riabova et al. 

Infrared nanoplasmonic metasurfaces augmented by artificial intelligence for universal biosensing

GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss

E. Gündogdu; V. Constantin; S. Parashar; A. Seifoddini; M. Dang et al. 

Data-driven myelin water imaging based on T-1 and T-2 relaxometry

G. F. Piredda; T. Hilbert; V. Ravano; E. J. Canales-Rodriguez; M. Pizzolato et al. 

FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows

E. Simou 

Generative Adversarial Networks for Localized Vibrotactile Feedback in Haptic Surfaces

C. Hernandez Mejia; X. Ren; A. Thabuis; J. Chavanne; P. Germano et al. 

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

B. A. Illing; J. Ventura; G. Bellec; W. Gerstner 

What can linearized neural networks actually say about generalization?

G. Ortiz Jimenez; S. M. Moosavi Dezfooli; P. Frossard 

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling

A. G. Mullissa; D. Marcos; D. Tuia; M. Herold; J. Reiche 

Neural interface systems with on-device computing: machine learning and neuromorphic architectures

J. Yoo; M. Shoaran 

Generalisation error in learning with random features and the hidden manifold model*

F. Gerace; B. Loureiro; F. Krzakala; M. Mezard; L. Zdeborova 

Time-Dependent Deep Image Prior for Dynamic MRI

J. Yoo; K. H. Jin; H. Gupta; J. Yerly; M. Stuber et al. 

Counting using deep learning regression gives value to ecological surveys

J. P. A. Hoekendijk; B. Kellenberger; G. Aarts; S. Brasseur; S. S. H. Poiesz et al. 

Spectral Measurement and Classification in the Era of Big Data

F. S. Webler; M. Andersen 

Deep Reinforcement Learning for room temperature control: a black-box pipeline from data to policies

L. Di Natale; B. Svetozarevic; P. Heer; C. Jones 

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

C. Hernandez Mejia; M. Favier; X. Ren; P. Germano; Y. Perriard 

Estimation of Left Ventricular End-Systolic Elastance From Brachial Pressure Waveform via Deep Learning

V. Bikia; M. Lazaroska; D. Scherrer Ma; M. Zhao; G. Rovas et al. 

Population pharmacokinetic model selection assisted by machine learning

E. Sibieude; A. Khandelwal; P. Girard; J. S. Hesthaven; N. Terranova 

Deep Neural Network to Accurately Predict Left Ventricular Systolic Function Under Mechanical Assistance

J. Bonnemain; M. Zeller; L. Pegolotti; S. Deparis; L. Liaudet 

Social media and deep learning capture the aesthetic quality of the landscape

I. Havinga; D. Marcos; P. W. Bogaart; L. Hein; D. Tuia 

Benchmarking of objective quality metrics for point cloud compression

D. Lazzarotto; E. Alexiou; T. Ebrahimi 

A User Centered News Recommendation System

R. Islambouli; S. Ingram; D. Gillet 

Toward fully automated assessment of the central vein sign using deep learning

T. Huelnhagen; O. Al Louzi; M. J. Fartaria; L. Daboul; D. S. Reich et al. 

Hand-Object Interaction: From Human Demonstrations to Robot Manipulation

A. Carfi; T. Patten; Y. Kuang; A. Hammoud; M. Alameh et al. 

PM2.5 Monitoring: Use Information Abundance Measurement and Wide and Deep Learning

K. Gu; H. Liu; Z. Xia; J. Qiao; W. Lin et al. 

Towards versatile conversations with data-driven dialog management and its integration in commercial platforms

P. Canas; D. Griol; Z. Callejas 

DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

E. Gomez-de-Mariscal; C. Garcia-Lopez-de-Haro; W. Ouyang; L. Donati; E. Lundberg et al. 

Defect segmentation for multi-illumination quality control systems

D. Honzátko; E. Türetken; S. Arjomand Bigdeli; L. A. Dunbar; P. Fua 

POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium

S. Fresca; A. Manzoni; L. Dede; A. Quarteroni 

Deep eyes: Joint depth inference using monocular and binocular cues

Z. Chen; X. Guo; S. Li; Y. Yang; J. Yu 

Disparity Between Batches as a Signal for Early Stopping

M. Forouzesh; P. Thiran 

Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings

V. S. Nallanthighal; Z. Mostaani; A. Harma; H. Strik; M. Magimai-Doss 

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems

Z. Dang; K. M. Yi; Y. Hu; F. Wang; P. Fua et al. 

Learning from survey propagation: a neural network for MAX-E-3-SAT

R. Marino 

Physics-Inspired Structural Representations for Molecules and Materials

F. Musil; A. Grisafi; A. P. Bartok; C. Ortner; G. Csanyi et al. 

Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems : potential, issues and challenges

S. C. Koumetio Tekouabou; E. B. Diop; R. Azmi; R. Jaligot; J. Chenal 

The role of convolutional neural networks in scanning probe microscopy: a review

I. Azuri; I. Rosenhek-Goldian; N. Regev-Rudzki; G. Fantner; S. R. Cohen 

Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation

M. Dorokhova; Y. Martinson; C. Ballif; N. Wyrsch 

Fidelity Estimation Improves Noisy-Image Classification with Pretrained Networks

X. Lin; D. Bhattacharjee; M. El Helou; S. Süsstrunk 

Counting People by Estimating People Flows

W. Liu; M. Salzmann; P. Fua 

Context-Aware Learning for Generative Models

S. Perdikis; R. Leeb; R. Chavarriaga; J. d. R. Millan 

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A. Gosztolai; S. Gunel; V. Lobato-Rios; M. Pietro Abrate; D. Morales et al. 

Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective

J. Zhang; Y. Dai; T. Zhang; M. Harandi; N. Barnes et al. 

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas

J. Krepl; F. Casalegno; E. Delattre; C. Ero; H. Lu et al. 

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

E. Logette; C. Lorin; C. Favreau; E. Oshurko; J. S. Coggan et al.