On the number of regions of piecewise linear neural networks

A. Goujon; A. Etemadi; M. Unser 

Domain knowledge-informed synthetic fault sample generation with health data map for cross-domain planetary gearbox fault diagnosis

J. M. Ha; O. Fink 

Stable parameterization of continuous and piecewise-linear functions

A. Goujon; J. Campos; M. Unser 

Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

S. Baghersalimi; A. Amirshahi; T. Teijeiro; A. Aminifar; D. Atienza Alonso 

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

H. Kebiri; A. Gholipour; R. Lin; L. Vasung; D. Karimi et al. 

Toward contactless human thermal monitoring: A framework for Machine Learning-based human thermo-physiology modeling augmented with computer vision

M. Rida; Mohamed Abdelfattah; Alexandre Alahi; Dolaana Khovalyg 

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

M. Motta; E. C. Groves; A. R. Schneider; S. Paoletti; N. Henchoz et al. 

Ageing-aware battery discharge prediction with deep learning

L. Biggio; T. Bendinelli; C. Kulkarni; O. Fink 

Emotional labor experienced in team-projects: A comparison of engineering and hospitality students

N. Kotluk; R. Tormey; R. Germanier; A. Darioly 

Learning-based techniques for lensless reconstruction

Y. Perron 

Neural-prior stochastic block model

O. Duranthon; L. Zdeborová 

Towards learning-based image compression for storage on DNA support

S. Strebel; N. Monnier; D. Lazzarotto; M. Testolina; T. Ebrahimi 

Where Did the News Come From? Detection of News Agency Releases in Historical Newspapers

L. Marxen 

Ab initio quantum chemistry with neural-network wavefunctions

J. Hermann; J. Spencer; K. Choo; A. Mezzacapo; W. M. C. Foulkes et al. 

DeePMD-kit v2: A software package for deep potential models

J. Zeng; D. Zhang; D. Lu; P. Mo; Z. Li et al. 

Identifying important sensory feedback for learning locomotion skills

W. Yu; C. Yang; C. McGreavy; E. Triantafyllidis; G. Bellegarda et al. 

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

S. Romeni; E. Losanno; E. Koert; L. Pierantoni; I. Delgado-Martinez et al. 

Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma

Y. Zhu; L-L. Chen; Y-W. Luo; L. Zhang; H-Y. Ma et al. 

Modeling lens potentials with continuous neural fields in galaxy-scale strong lenses

L. Biggio; G. Vernardos; A. Galan; A. Peel; F. Courbin 

Self-correcting quantum many-body control using reinforcement learning with tensor networks

F. Metz; M. Bukov 

Polynomial-time universality and limitations of deep learning

E. Abbe; C. Sandon 

Reconstructing lensless image with ML models and deploying them onto embedded systems

J. P. Reymond 

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

Z. Wei; B. Guillard; P. Fua; V. Chapin; M. Bauerheim 

Towards learning-based denoising of light fields

T. Soares De Carvalho Feith; M. Testolina; T. Ebrahimi 

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

J. Heitmann; A. Glangetas; J. Doenz; J. N. Dervaux; D. Shama et al. 

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

J. N. Siebert; M-A. Hartley; D. S. Courvoisier; M. Salamin; L. Robotham et al. 

Damage-augmented digital twins towards the automated inspection of buildings

B. G. Pantoja-Rosero; R. Achanta; K. Beyer 

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Y. Jiang; C. Liu; Z. Huang; M. Salzmann; S. Süsstrunk 

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

K. J. Sandbrink; P. Mamidanna; C. Michaelis; M. Bethge; M. W. Mathis et al. 

DELMEP: a deep learning algorithm for automated annotation of motor evoked potential latencies

D. Milardovich; V. H. Souza; I. Zubarev; S. Tugin; J. O. Nieminen et al. 

Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins

S. L. Durr; A. Levy; U. Rothlisberger 

Leveraging Unlabeled Data to Track Memorization

M. Forouzesh; H. Sedghi; P. Thiran 

Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

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

ReLU Neural Network Galerkin BEM

R. Aylwin; F. Henriquez; C. Schwab 

De novo design of protein interactions with learned surface fingerprints

P. Gainza Cirauqui; S. Wehrle; A. K. Van Hall-Beauvais; A. Marchand; A. Scheck et al. 

Two-dimensional Pure Isotropic Proton Solid State NMR

P. Moutzouri; M. Cordova; B. S. de Almeida; D. Torodii; L. Emsley 

Three-dimensional nanoimaging of fuel cell catalyst layers

R. Girod; T. Lazaridis; H. A. Gasteiger; V. Tileli 

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

P. Rokhforoz; M. Montazeri; O. Fink 

A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs

S. S. Nair; V. R. Muddapu; C. Vigneswaran; P. P. Balasubramani; D. S. Ramanathan et al. 

RMAML: Riemannian meta-learning with orthogonality constraints

H. Tabealhojeh; P. Adibi; H. Karshenas; S. K. Roy; M. Harandi 

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

D. De Luca; S. Moccia; L. Lupori; R. Mazziotti; T. Pizzorusso et al. 

Perspective Aware Road Obstacle Detection

K. Lis; S. Honari; P. Fua; M. Salzmann 

A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission

A. Tykhonov; A. Kotenko; P. Coppin; M. Deliyergiyev; D. Droz et al. 

Visual question answering from another perspective: CLEVR mental rotation tests *

C. Beckham; M. Weiss; F. Golemo; S. Honari; D. Nowrouzezahrai et al. 

CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets

L. Burgy; M. Weigert; G. Hatzopoulos; M. Minder; A. Journe et al. 

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

T. Li; C. Sun; O. Fink; Y. Yang; X. Chen et al. 

The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning star

L. Cabayol; M. Eriksen; J. Carretero; R. Casas; F. J. Castander et al. 

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

A. Humphrey; L. Bisigello; P. A. C. Cunha; M. Bolzonella; S. Fotopoulou et al. 

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

V. Swamy; S. Du; M. Marras; T. Käser 

Aiming beyond slight increases in accuracy

D. Probst 

Dynamics of social media behavior before and after SARS-CoV-2 infection

F. Durazzi; F. Pichard; D. Remondini; M. Salathe 

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

A-C. Billault-Roux; G. Ghiggi; L. Jaffeux; A. Martini; N. Viltard et al. 

Social media and deep learning reveal specific cultural preferences for biodiversity

I. Havinga; D. Marcos; P. Bogaart; D. Massimino; L. Hein et al. 

Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series

G. Michau; G. M. Frusque; O. Fink 

Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model

A. Khan; N. Brouwer; A. Blank; F. Mueller; D. Soldini et al. 

Euclid preparation – XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

L. Bisigello; C. J. Conselice; M. Baes; M. Bolzonella; M. Brescia et al. 

DeepBND: A machine learning approach to enhance multiscale solid mechanics

F. Rocha; S. Deparis; P. Antolin; A. Buffa 

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

S. Israilov; L. Fu; J. Sanchez-Rodriguez; F. Fusco; G. Allibert et al. 

Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table

A. Rodriguez; C. Lin; H. Yang; M. Al-Fahdi; C. Shen et al. 

Generative power of a protein language model trained on multiple sequence alignments

D. Sgarbossa; U. Lupo; A-F. Bitbol 

Geodesic Convolutional Neural Network Characterization of Macro-Porous Latent Thermal Energy Storage

N. Mallya; P. B. Baqué; P. Yvernay; A. Pozzetti; P. Fua et al. 

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

E. Sibilano; A. Brunetti; D. Buongiorno; M. Lassi; A. Grippo et al. 

End-to-end learned early classification of time series for in-season crop type mapping

M. Rußwurm; N. Courty; R. Emonet; S. Lefèvre; D. Tuia et al. 

Predicting the liveability of Dutch cities with aerial images and semantic intermediate concepts

A. Levering; D. Marcos; J. van Vliet; D. Tuia 

Fusing physics-based and deep learning models for prognostics

M. Arias Chao; C. kulkarni; K. Goebel; O. Fink 

Informing Neural Networks with Simplified Physics for Better Flow Prediction

F. Sergeev 

Behavioral outcome of very preterm children at 5 years of age: Prognostic utility of brain tissue volumes at term-equivalent-age, perinatal, and environmental factors

M. C. Liverani; S. Loukas; L. Gui; M-P. Pittet; M. Pereira et al. 

Pure Isotropic Proton NMR Spectra in Solids using Deep Learning

M. Cordova; P. Moutzouri; B. S. de Almeida; D. Torodii; L. Emsley 

Facilitated machine learning for image-based fruit quality assessment

M. Knott; F. Perez-Cruz; T. Defraeye 

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning

L. D. Natale; Y. Lian; E. Maddalena; J. Shi; C. N. Jones 

Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning

Y. Wen; C. Zhou; L. Chen; Y. Deng; M. Cleusix et al. 

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units

P. Rokhforoz; M. Montazeri; O. Fink 

Single-Molecule Peptide Identification Using Fluorescence Blinking Fingerprints

S. Puntener; P. Rivera-Fuentes 

Supervised learning and inference of spiking neural networks with temporal coding

The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

D. Probst 

An explainability framework for deep learning on chemical reactions exemplified by enzyme-catalysed reaction classification

D. Probst 

The inductive bias of deep learning: Connecting weights and functions

Deep Learning for 3D Surface Modelling and Reconstruction

A Robotic Surgery Platform for Automated Tissue Micromanipulation in Zebrafish Embryos

E. Özelçi; E. Etesami; L. A. Rohde; A. C. Oates; S. Sakar 

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Principles of Network Plasticity in Neocortical Microcircuits

Intelligent RF System for Ultra Low Power Spectrum Sensing with Machine Learning

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

L. Barbed; J. Montiel; P. Fua; A. Murillo 

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs

O. Glamočanin; S. Shrivastava; J. Yao; N. Ardo; M. Payer et al. 

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions

X. Kuang; K. Yuan; B. Du; J. Yang 

Deep excavation of the impact from endogenous and exogenous uncertainties on long-term energy planning

X. Li; F. Marechal 

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems

S. Baghersalimi; T. Teijeiro; A. Aminifar; D. Atienza Alonso 

Wind, Hail, and Climate Extremes: Modelling and Attribution Studies for Environmental Data

Hardware-Software co-design Methodologies for Edge AI Optimization

Benign Overfitting in Deep Neural Networks under Lazy Training

Z. Zhu; F. Liu; G. Chrysos; F. Locatello; V. Cevher 

Saliency prediction in 360° architectural scenes: Performance and impact of daylight variations

C. Karmann; B. Aydemir; K. Chamilothori; S. Kim; S. Süsstrunk et al. 

Interpretable statistical representations of neural population dynamics and geometry

A. Gosztolai; R. L. Peach; A. Arnaudon; M. Barahona; P. Vandergheynst 

A Neural-Network-Based Convex Regularizer for Inverse Problems

A. Goujon; S. Neumayer; P. Bohra; S. Ducotterd; M. Unser 

Exploring Novel Modalities for Optical Diffraction Tomography

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Noninvasive deep brain stimulation to modulate human behavior by means of transcranial temporal interference electrical stimulation

Accelerated deep self-supervised ptycho-laminography for three-dimensional nanoscale imaging of integrated circuits

I. Kang; Y. Jiang; M. Holler; M. Guizar Sicairos; A. F. J. Levi et al.