Qualify-as-you-go: sensor fusion of optical and acoustic signatures with contrastive deep learning for multi-material composition monitoring in laser powder bed fusion process

V. Pandiyan; A. Baganis; R. A. Richter; R. Wrobel; C. Leinenbach 

Subwavelength imaging using a solid-immersion diffractive optical processor

J. Hu; K. Liao; N. U. Dinc; C. Gigli; B. Bai et al. 

Non-negative matrix factorization-aided phase unmixing and trace element quantification of STEM-EDXS data

H. Chen; F. Nabiei; J. Badro; D. T. L. Alexander; C. Hebert 

TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression

M. Shukla; M. Salzmann; A. Alahi 

Parental status and markers of brain and cellular age: A 3D convolutional network and classification study

A-M. G. de Lange; E. H. Leonardsen; C. Barth; L. S. Schindler; A. Crestol et al. 

Positional Embeddings for Solving PDEs with Evolutional Deep Neural Networks

M. Kast; J. S. Hesthaven 

Coronal jets identification using Deep Learning as Image and Video Object Detection

A. Joliat 

Deep learning-based recommendation system for metal-organic frameworks (MOFs)

X. Zhang; K. M. Jablonka; B. Smit 

Intraday solar irradiance forecasting using public cameras

R. Sarkis; I. Oguz; D. Psaltis; M. Paolone; C. Moser et al. 

Mapping drivers of tropical forest loss with satellite image time series and machine learning

J. Pisl; M. Russwurm; L. H. Hughes; G. Lenczner; L. See et al. 

AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks

G. Li; A. Ijspeert; M. Hayashibe 

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

P. Vassiliadis; E. Beanato; T. Popa; F. Windel; T. Morishita et al. 

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

S. Baghersalimi; A. Amirshahi; F. Forooghifar; T. Teijeiro; AMIR AMINIFAR et al. 

Text-to-Microstructure Generation Using Generative Deep Learning

X. Zheng; I. Watanabe; J. Paik; J. Li; X. Guo et al. 

Hierarchical Training of Deep Neural Networks Using Early Exiting

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

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate from a Smartwatch

C. Kechris; J. Dan; J. A. Miranda Calero; D. Atienza Alonso 

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

N. Durasov; N. Dorndorf; M. H. Lê 

Resource-Efficient Continual Learning for Personalized Online Seizure Detection

A. Shahbazinia; F. Ponzina; J. A. Miranda Calero; J. Dan; G. Ansaloni et al. 

PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein-Carbohydrate Binding Interfaces

P. Bibekar; L. F. Krapp; M. Dal Peraro 

Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains

M. Shafiee; G. Bellegarda; A. Ijspeert 

“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. 

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

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

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

T-A. Nguyen; M. Russwurm; G. Lenczner; D. Tuia 

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 

Live-cell imaging powered by computation

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

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. 

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. 

Graph generative deep learning models with an application to circuit topologies

Cochains are all you need

Robust NAS under adversarial training: benchmark, theory, and beyond

Y. Wu; F. Liu; C-J. Simon-Gabriel; G. Chrysos; V. Cevher 

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Y. Chen; F. Liu; Y. Lu; G. Chrysos; V. Cevher 

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Z. Wei; A. Yang; J. Li; M. Bauerheim; R. P. Liem et al. 

Data for Paper “Scalable Semantic 3D Mapping of Coral Reefs with Deep Learning”

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

Machine Learning for Modeling Stock Returns

Topics in statistical physics of high-dimensional machine learning

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Partial discharge localization in power transformer tanks using machine learning methods

F. Khodaveisi; H. Karami; M. Z. Karimpour; M. Rubinstein; F. Rachidi 

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning

R. Zbinden; N. van Tiel; B. Kellenberger; L. Hughes; D. Tuia 

Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Stochastic Simulations and Machine Learning Modeling to Predict Bedload Transport and Bed Topography

Understanding generalization and robustness in modern deep learning

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

S. Ducotterd; A. Goujon; P. N. Bohra; D. Perdios; S. J. Neumayer et al. 

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

F. Regazzoni; S. Pagani; M. Salvador; L. Dede; A. Quarteroni 

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance

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

Unravelling the components of diffuse scattering using deep learning

C. A. Fuller; L. S. P. Rudden 

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. 

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. 

Shape Holomorphy of Boundary Integral Operators on Multiple Open Arcs

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

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

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

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. 

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 

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. 

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.