Copertina

Rates and architectures for learning geometrically non-trivial operators

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Roddenberry, T. Mitchell, Tzou, Leo, Dokmanić, Ivan, de Hoop, Maarten V., Baraniuk, Richard G.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computer Vision and Pattern Recognition Image and Video Processing Differential Geometry
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Geometric Generative Models based on Morphological Equivariant PDEs and GANs
di: Diop, El Hadji S., et al.
Pubblicazione: (2024)

Ice-Tide: Implicit Cryo-ET Imaging and Deformation Estimation
di: Debarnot, Valentin, et al.
Pubblicazione: (2024)

Glimpse: Generalized Locality for Scalable and Robust CT
di: Khorashadizadeh, AmirEhsan, et al.
Pubblicazione: (2024)

Gaussian Surrogates for Poisson Imaging: Some Theoretical and Empirical Results
di: Spitzer, Alexandra, et al.
Pubblicazione: (2026)

Rate-Accuracy Bounds in Visual Coding for Machines
di: Bajić, Ivan V.
Pubblicazione: (2025)

CryoLithe: Rapid Cryo-ET Reconstruction via Transform-Localized Deep Learning
di: Kishore, Vinith, et al.
Pubblicazione: (2025)

GDCNet: Calibrationless geometric distortion correction of echo planar imaging data using deep learning
di: Jimeno, Marina Manso, et al.
Pubblicazione: (2024)

Classification of residential and non-residential buildings based on satellite data using deep learning
di: Singla, Jai G
Pubblicazione: (2024)

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling
di: Babaei, Hossein, et al.
Pubblicazione: (2025)

Efficient onboard multi-task AI architecture based on self-supervised learning
di: Inzerillo, Gabriele, et al.
Pubblicazione: (2024)

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
di: Zhou, Haowen, et al.
Pubblicazione: (2024)

Toward bilipshiz geometric models
di: Sverdlov, Yonatan, et al.
Pubblicazione: (2025)

Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
di: Bosma, Joeran S., et al.
Pubblicazione: (2021)

SaFARi: State-Space Models for Frame-Agnostic Representation
di: Babaei, Hossein, et al.
Pubblicazione: (2025)

TITAN: Bringing The Deep Image Prior to Implicit Representations
di: Luzi, Lorenzo, et al.
Pubblicazione: (2022)

Scalable neural pushbroom architectures for real-time denoising of hyperspectral images onboard satellites
di: Yi, Ziyao, et al.
Pubblicazione: (2026)

End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks
di: Kebaili, Aghiles, et al.
Pubblicazione: (2023)

Retinal Malady Classification using AI: A novel ViT-SVM combination architecture
di: Jha, Shashwat, et al.
Pubblicazione: (2026)

Susceptibility of Adversarial Attack on Medical Image Segmentation Models
di: Wang, Zhongxuan, et al.
Pubblicazione: (2024)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT
di: Mittal, Ajay, et al.
Pubblicazione: (2025)

Scalable Human-Machine Point Cloud Compression
di: Ulhaq, Mateen, et al.
Pubblicazione: (2024)

Learned Multimodal Compression for Autonomous Driving
di: Hadizadeh, Hadi, et al.
Pubblicazione: (2024)

Learned Compression of Encoding Distributions
di: Ulhaq, Mateen, et al.
Pubblicazione: (2024)

Learned Scalable Video Coding For Humans and Machines
di: Hadizadeh, Hadi, et al.
Pubblicazione: (2023)

Lattice Identification and Separation: Theory and Algorithm
di: He, Yuchen, et al.
Pubblicazione: (2018)

Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection
di: Saleh, Basma Jumaa, et al.
Pubblicazione: (2023)

Compressive Feature Selection for Remote Visual Multi-Task Inference
di: Alvar, Saeed Ranjbar, et al.
Pubblicazione: (2024)

Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling
di: Uhr, Vinzenz, et al.
Pubblicazione: (2025)

Anomaly detection in non-stationary videos using time-recursive differencing network based prediction
di: Pillai, Gargi V., et al.
Pubblicazione: (2025)

Depth Separable architecture for Sentinel-5P Super-Resolution
di: Ali, Hyam Omar, et al.
Pubblicazione: (2025)

Semantic segmentation on multi-resolution optical and microwave data using deep learning
di: Singla, Jai G, et al.
Pubblicazione: (2024)

3-Dimensional residual neural architecture search for ultrasonic defect detection
di: McKnight, Shaun, et al.
Pubblicazione: (2023)

WaLRUS: Wavelets for Long-range Representation Using SSMs
di: Babaei, Hossein, et al.
Pubblicazione: (2025)

Data-Driven Trajectory Imputation for Vessel Mobility Analysis
di: Spiliopoulos, Giannis, et al.
Pubblicazione: (2026)

Balanced Rate-Distortion Optimization in Learned Image Compression
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
di: Starmans, Martijn P. A., et al.
Pubblicazione: (2021)

Real-time nonlinear inversion of magnetic resonance elastography with operator learning
di: Rivera, Juampablo E. Heras, et al.
Pubblicazione: (2025)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
di: Fabelo, H., et al.
Pubblicazione: (2024)

Equitable non-contact infrared thermography after solar loading using deep learning
di: Zhao, Ellin Q., et al.
Pubblicazione: (2023)

Medical diffusion on a budget: Textual Inversion for medical image generation
di: de Wilde, Bram, et al.
Pubblicazione: (2023)