Roadmap on wavefront shaping and deep imaging in complex media

S. Gigan; O. Katz; H. B. de Aguiar; E. R. Andresen; A. Aubry et al. 

Mapping forest in the Swiss Alps treeline ecotone with explainable deep learning

T-A. Nguyen; B. Kellenberger; D. Tuia 

Auto-tuning deep forest for shear stiffness prediction of headed stud connectors

X. Wang; H. Liu; Y. Liu 

Generating LOD3 building models from structure-from-motion and semantic segmentation

B. G. Pantoja-Rosero; R. Achanta; M. Kozinski; P. Fua; F. Perez-Cruz et al. 

Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine

G. Starke; C. Poppe 

Time-delay estimation in unresolved lensed quasars

L. Biggio; A. Domi; S. Tosi; G. Vernardos; D. Ricci et al. 

Multiscale light-sheet organoid imaging framework

G. de Medeiros; R. Ortiz; P. Strnad; A. Boni; F. Moos et al. 

Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning

B. Denizdurduran; H. Markram; M-O. Gewaltig 

Deep learning approaches for conformational flexibility and switching properties in protein design

L. S. P. Rudden; M. Hijazi; P. Barth 

On the robustness of randomized classifiers to adversarial examples

R. Pinot; L. Meunier; F. Yger; C. Gouy-Pailler; Y. Chevaleyre et al. 

Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks

S. Choudhury; M. Moret; P. Salvy; D. Weilandt; V. Hatzimanikatis et al. 

A Compressor Off-Line Washing Schedule Optimization Method With a LSTM Deep Learning Model Predicting the Fouling Trend

J. Chen; X. Tang; J. Lu; H. Zhang 

A prescriptive Dirichlet power allocation policy with deep reinforcement learning

Y. Tian; M. Han; C. Kulkarni; O. Fink 

Scaffolding protein functional sites using deep learning

J. Wang; S. Lisanza; D. Juergens; D. Tischer; J. L. Watson et al. 

GANs for All: Supporting Fun and Intuitive Exploration of GAN Latent Spaces

W. Jiang; R. L. Davis; K. G. Kim; P. Dillenbourg 

ShapeNet: Shape constraint for galaxy image deconvolution

F. Nammour; U. Akhaury; J. N. Girard; F. Lanusse; F. Sureau et al. 

Combining computational fluid dynamics and neural networks to characterize microclimate extremes: Learning the complex interactions between meso-climate and urban morphology

K. Javanroodi; V. M. Nik; M. G. Giometto; J-L. Scartezzini 

Searching for visual patterns in a children’s drawings collection

R. Annapureddy 

Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms

Y. Izadmehr; H. F. Satizabal; K. Aminian; A. Perez-Uribe 

Robust Classification Using Contractive Hamiltonian Neural ODEs

M. Zakwan; L. Xu; G. Ferrari-Trecate 

Toward High-level Machine Learning Potential for Water Based on Quantum Fragmentation and Neural Networks

J. Liu; J. Lan; X. He 

Autoencoders reloaded

H. Bourlard; S. H. Kabil 

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

L. Gonzalez-Carabarin; I. A. M. Huijben; B. Veeling; A. Schmid; R. J. G. van Sloun 

PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

R. Tenderini; S. Pagani; A. Quarteroni; S. Deparis 

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

A. Gratsea; P. Huembeli 

A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN)

H. Lajous; C. W. Roy; T. Hilbert; P. de Dumast; S. Tourbier et al. 

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

N. Frank; D. Lazzarotto; T. Ebrahimi 

Deep learning exotic hadrons

L. Ng; L. Bibrzycki; J. Nys; C. Fernandez-Ramirez; A. Pilloni et al. 

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

A. Momeni; R. Fleury 

The Food Recognition Benchmark: Using Deep Learning to Recognize Food in Images

S. P. Mohanty; G. Singhal; E. A. Scuccimarra; D. Kebaili; H. Heritier et al. 

Finding quadruply imaged quasars with machine learning – I. Methods

A. Akhazhanov; A. More; A. Amini; C. Hazlett; T. Treu et al. 

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

S. Batzner; A. Musaelian; L. Sun; M. Geiger; J. P. Mailoa et al. 

Predicting chemical hazard across taxa through machine learning

J. Wu; S. D’Ambrosi; L. Ammann; J. Stadnicka-Michalak; K. Schirmer et al. 

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. 

CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging

D. Perdios; M. Vonlanthen; F. Martinez; M. Arditi; J-P. Thiran 

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 

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 

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

Personalized Productive Engagement Recognition in Robot-Mediated Collaborative Learning

V. Vikashini; H. Salam; J. Nasir; B. Bruno; O. Celiktutan 

Deep Reinforcement Learning for Random Access in Machine-Type Communication

M. Awais Jadoon; A. Pastore; M. Navarro; F. Perez-Cruz 

Theory of Deep Learning: Neural Tangent Kernel and Beyond

Robustness and invariance properties of image classifiers

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Understanding Deep Neural Networks using Adversarial Attacks

Offshore wind farm wake modelling using deep feed forward neural networks for active yaw control and layout optimisation

S. Anagnostopoulos; M. Piggott 

Deploying an Instance Segmentation Algorithm to Implement Social Distancing for Prosthetic Vision

D. De Luca; S. Moccia; S. Micera 

A hardware/software co-design vision for deep learning at the edge

F. Ponzina; S. Machetti; M. A. Rios; B. W. Denkinger; A. S. J. Levisse et al. 

On SGD with Momentum

M. Plattner 

Advanced Techniques in Optical Diffraction Tomography

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

D. Tomar; B. Bozorgtabar; M. Lortkipanidze; G. Vray; M. S. Rad et al. 

Algorithms for Efficient and Robust Distributed Deep Learning

Where does the engram come from? Study of prefrontal cortex inputs during memory consolidation

Simple Yet Effective Action Recognition for Autonomous Driving

W. Xiong; L. Bertoni; T. Mordan; A. Alahi 

Structure-preserving approaches and data-driven closure modeling for model order reduction

Object Priors for Volumetric Image Segmentation

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

E. Boursier; L. Pillaud-Vivien; N. Flammarion 

Learning rich optical embeddings for privacy-preserving lensless image classification

E. Bezzam; M. Vetterli; M. Simeoni 

Automatic pathological speech assessment

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

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