Shape Holomorphy of Boundary Integral Operators on Multiple Open Arcs

J. Pinto; F. Henriquez; C. Jerez-Hanckes 

“But of course i’m going to look happy” or “He needed to know I was angry”? Comparing use of emotional labour in teamwork in engineering and hospitality students

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

The multimodality cell segmentation challenge: toward universal solutions

J. Ma; R. Xie; S. Ayyadhury; C. Ge; A. Gupta et al. 

Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?

W. Liao; R. Zhu; T. Ishizaki; Y. Li; Y. Jia et al. 

Scalable semantic 3D mapping of coral reefs with deep learning

J. Sauder; G. Banc-Prandi; A. Meibom; D. Tuia 

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

H. Park; S. Majumdar; X. Zhang; J. Kim; B. Smit 

On learning latent dynamics of the AUG plasma state

A. Kit; A. E. Jarvinen; Y. R. J. Poels; S. Wiesen; V. Menkovski et al. 

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

A. Mueller; D. Schmidt; J. P. Albrecht; L. Rieckert; M. Otto et al. 

Live-cell imaging powered by computation

H. Shroff; I. Testa; F. Jug; S. Manley 

Toward universal cell embeddings: integrating single-cell RNA-seq datasets across species with SATURN

Y. Rosen; M. Brbic; Y. Roohani; K. Swanson; Z. Li et al. 

Where the White Continent Is Blue: Deep Learning Locates Bare Ice in Antarctica

V. Tollenaar; H. Zekollari; F. Pattyn; M. Russwurm; B. Kellenberger et al. 

Deep learning approach for identification of H II regions during reionization in 21-cm observations – II. Foreground contamination

M. Bianco; S. K. Giri; D. Prelogovic; T. Chen; F. G. Mertens et al. 

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

J. Qian; Y. Jiang; X. Liu; Q. Wang; T. Wang et al. 

Butterfly effects in perceptual development: A review of the ‘adaptive initial degradation’ hypothesis

L. Vogelsang; M. Vogelsang; G. Pipa; S. Diamond; P. Sinha 

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

L. Leuzzi; M. Meneghetti; G. Angora; R. B. Metcalf; L. Moscardini et al. 

Glenohumeral joint force prediction with deep learning

P. Eghbali; F. Becce; P. Goetti; P. Buchler; D. P. Pioletti et al. 

Dynamic Behavior of Spatially Confined Sn Clusters and Its Application in Highly Efficient Sodium Storage with High Initial Coulombic Efficiency

H. Ma; R. Yu; W. Xu; L. Zhang; J. Chen et al. 

Meta-learning to address diverse Earth observation problems across resolutions

M. Russwurm; S. Wang; B. A. Kellenberger; R. Roscher; D. Tuia 

JDLL: a library to run deep learning models on Java bioimage informatics platforms

C. G. L. de Haro; S. Dallongeville; T. Musset; E. Gomez-de-Mariscal; D. Sage et al. 

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

V. Zermatten; X. Lu; J. Castillo-Navarro; T. Kellenberger; D. Tuia 

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Network time series forecasting in photovoltaics power production

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

E. Salimbeni; F. Craighero; R. Khasanova; M. Vasic; P. Vandergheynst 

Optimizing Dynamic Aperture Studies with Active Learning

D. Di Croce; M. Giovannozzi; E. Krymova; T. Pieloni; S. Redaelli et al. 

RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

L. Jin; S. Gu; D. Wei; J. K. Adhinarta; K. Kuang et al. 

Predicting protein interactions using geometric deep learning on protein surfaces

Predicting the long-term collective behaviour of fish pairs with deep learning

V. Papaspyros; R. Escobedo; A. Alahi; G. Theraulaz; C. Sire et al. 

Understanding and Enhancing Digital Wellbeing Dimensions: Empirical Studies on Smartphone Usage Patterns and Recommendations of Micro-Informative Content

Cellpose training data and scripts from “Inhibition of CERS1 in aging skeletal muscle exacerbates age-related muscle impairments”

M. Wohlwend; O. Burri; J. Auwerx 

Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors

P. Grönquist; Y. Ren; Q. He; A. Verardo; S. Süsstrunk 

Computational drug development for membrane protein targets

H. Li; X. Sun; W. Cui; M. Xu; J. Dong et al. 

Towards Trustworthy Deep Learning for Image Reconstruction

Towards the Detection of AI-Synthesized Human Face Images

Y. Lu; T. Ebrahimi 

Assessment framework for deepfake detection in real-world situations

Y. Lu; T. Ebrahimi 

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (6/6)

R. Vinals Terres; J-P. Thiran 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (5/6)

R. Vinals Terres; J-P. Thiran 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (4/6)

R. Vinals Terres; J-P. Thiran 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (3/6)

R. Vinals Terres; J-P. Thiran 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

R. Vinals Terres; J-P. Thiran 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (1/6)

R. Vinals Terres; J-P. Thiran 

Safe Deep Neural Networks

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

I. Nejjar; F. Geissmann; M. Zhao; C. Taal; O. Fink 

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

H. Lu; A. Thelen; O. Fink; C. Hu; S. Laflamme 

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Aggregating Spatial and Photometric Context for Photometric Stereo

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Incorporating Projective Geometry into Deep Learning

Random matrix methods for high-dimensional machine learning models

3D diffractive optics for linear interconnects and nonlinear processing

On the number of regions of piecewise linear neural networks

A. Goujon; A. Etemadi; M. Unser 

A Robotic Surgery Platform for Automated Tissue Micromanipulation in Zebrafish Embryos

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

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting

S. Graham; Q. D. Vu; M. Jahanifar; M. Weigert; U. Schmidt et al. 

Deep Learning-Assisted Single-Molecule Detection of Protein Post-translational Modifications with a Biological Nanopore

C. Cao; P. Magalhaes; L. F. Krapp; J. F. B. Juarez; S. F. Mayer et al. 

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

X. Wang; N. Banthia; D-Y. Yoo 

Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime

T. Stegmueller; C. R. Abbet; B. Bozorgtabar; H. Clarke; P. Petignat et al. 

Boosting Weakly Convex Ridge Regularizers with Spatial Adaptivity

S. J. Neumayer; M. Pourya; A. Goujon; M. Unser 

Fixing the problems of deep neural networks will require better training data and learning algorithms

J. S. Bowers; G. Malhotra; M. Dujmovic; M. L. Montero; C. Tsvetkov et al. 

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

C. F. Park; M. Barzegar-Keshteli; K. Korchagina; A. Delrocq; V. Susoy et al. 

Using deep learning-based approaches to characterise ageing in different tissue components of normal breast tissue of women with different risk of developing breast cancer

S. Y. Chen; M. P. Centeno; G. Verghese; G. Booker; I. Wall et al. 

Multi-site, Multi-domain Airway Tree Modeling

M. Zhang; Y. Wu; H. Zhang; Y. Qin; H. Zheng et al. 

Divergences in color perception between deep neural networks and humans

E. O. Nadler; E. Darragh-Ford; B. S. Desikan; C. Conaway; M. Chu et al. 

How deep convolutional neural networks lose spatial information with training

U. M. Tomasini; L. Petrini; F. Cagnetta; M. Wyart 

Reply to Comment on ‘Physics-based representations for machine learning properties of chemical reactions’

P. E. Van Gerwen; M. D. Wodrich; R. Laplaza; C. Corminboeuf 

Euclid: Identification of asteroid streaks in simulated images using deep learning

M. Pontinen; M. Granvik; A. A. Nucita; L. Conversi; B. Altieri et al. 

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

B. Chen; Z. Liu; J. Lu; Z. Li; K. Kuang et al. 

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

R. Vinals Terres; J-P. Thiran 

Bed Topography Inference from Velocity Field Using Deep Learning.

M. Kiani Oshtorjani; C. Ancey 

Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network

W. Liao; R. Zhu; Z. Yang; K. Liu; B. Zhang et al. 

A new age in protein design empowered by deep learning

H. Khakzad; I. Igashov; A. Schneuing; C. Goverde; M. Bronstein et al. 

Monotonicity Reasoning in the Age of Neural Foundation Models

Z. Chen; Q. Gao 

Rethinking data augmentation for adversarial robustness

H. Eghbal-zadeh; W. Zellinger; M. Pintor; K. Grosse; K. Koutini et al. 

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

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

Signal domain adaptation network for limited-view optoacoustic tomography

A. K. Susmelj; B. Lafci; F. Ozdemir; N. Davoudi; X. L. Dean-Ben et al. 

Learning sparse features can lead to overfitting in neural networks

L. Petrini; F. Cagnetta; E. Vanden-Eijnden; M. Wyart 

Multi-layer state evolution under random convolutional design

M. Daniels; C. Gerbelot; F. Krzakala; L. Zdeborova 

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 

Noninvasive theta-burst stimulation of the human striatum enhances striatal activity and motor skill learning

M. J. Wessel; E. Beanato; T. Popa; F. Windel; P. Vassiliadis et al. 

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

R. Romijnders; F. Salis; C. Hansen; A. Kuederle; A. Paraschiv-Ionescu et al. 

AI-based forecasting for optimised solar energy management and smart grid efficiency

P. Bouquet; I. Jackson; M. Nick; A. Kaboli 

Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma

J. Sun; L. Zhang; B. Hu; Z. Du; W. C. Cho et al. 

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

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

From Prediction to Prevention: Leveraging Deep Learning in Traffic Accident Prediction Systems

Z. Jin; B. Noh 

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. 

Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

S. J. Anagnostopoulos; J. Bauer; M. C. A. Clare; M. D. Piggott 

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 

Artificial intelligence for natural product drug discovery

M. W. Mullowney; K. R. Duncan; S. S. Elsayed; N. Garg; J. J. J. van der Hooft et al. 

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

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

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Y. Che; Y. Zheng; F. E. Forest; X. Sui; X. Hu et al. 

Learning-based techniques for lensless reconstruction

Y. Perron 

Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector

A. Tumasyan; W. Adam; J. W. Andrejkovic; T. Bergauer; S. Chatterjee et al. 

Sensor-agnostic Deep Learning of Coastal Ocean Chlorophyll-a

L. Hughes; D. Tuia; M. Smith; L. Lain 

A deep learning-approach to infer somatic alterations in glioma using digital tissue slides

B. Kriener; S. Mueller; S. M. Waszak 

A Study on Gradient-based Meta-learning for Robust Deep Digital Twins

R. P. Theiler; M. Viscione; O. Fink 

Neural-prior stochastic block model

O. Duranthon; L. Zdeborová