Jan-Jakob Sonke
16 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Research topics
Computer Vision
(10)
Deep Learning
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Machine Learning
(9)
Artificial Intelligence
(6)
Architectures
(5)
Learning Types · Machine Learning
(5)
Learning Types · Deep Learning
(5)
Optimization & Theory
(5)
Analysis
(4)
Core AI
(4)
Core Methods
(4)
Domain-Specific
(4)
Processing
(4)
Healthcare & Medicine
(3)
Clinical
(3)
Keywords
convolutional neural network
(3)
magnetic resonance imaging
(3)
medical imaging
(2)
inverse problem
(2)
representation learning
(2)
prototype learning
(2)
image reconstruction
(2)
neural field
(2)
network architecture
(1)
self-supervised learning
(1)
conformal prediction
(1)
image segmentation
(1)
point cloud
(1)
model architecture
(1)
hyperparameter optimization
(1)
few-shot learning
(1)
wavelet transform
(1)
adversarial training
(1)
geometric deep learning
(1)
variational inference
(1)
Papers
Conditional Learned Reconstruction for Medical Imaging
MIDL 2026
End-to-End Co-Optimization of Adaptive k-space Sampling and Reconstruction for Dynamic MRI
MIDL 2026
Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy
MIDL 2026
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
ICLR 2025
Joint Supervised and Self-supervised Learning for MRI Reconstruction
MIDL 2025
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
ICML 2025
Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
ICCV 2025
Click Prompt Learning with Optimal Transport for Interactive Segmentation
ECCV 2024
Domain Adaptation with Cauchy-Schwarz Divergence
UAI 2024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
CVPR 2024
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms
CVPR 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
NeurIPS 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization
CVPR 2024
Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN
ICLR 2023
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
CVPR 2022
Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction
CVPR 2022