Christoph Lippert
16 papers · 2005–2026 · 8 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Century Club · Bronze
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Research topics
Machine Learning
(14)
Artificial Intelligence
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Computer Vision
(6)
Deep Learning
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Core Methods
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(6)
Optimization & Theory
(6)
Bayesian & Probabilistic · Artificial Intelligence
(5)
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Healthcare & Medicine
(3)
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Bayesian & Probabilistic · Machine Learning
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Keywords
medical imaging
(3)
representation learning
(3)
bayesian inference
(3)
brain mri
(3)
density estimation
(2)
gaussian process
(2)
image classification
(2)
kernel methods
(2)
variational inference
(2)
kronecker product
(2)
self-supervised learning
(2)
generative model
(2)
multiple instance learning
(2)
object detection
(1)
uncertainty quantification
(1)
multi-task learning
(1)
vision transformer
(1)
transfer learning
(1)
feature representation
(1)
semantic segmentation
(1)
Papers
Deep Nonparametric Conditional Independence Tests for Images
JMLR 2026
Token Cropr: Faster ViTs for Quite a Few Tasks
CVPR 2025
Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer’s Disease Data.
MIDL 2024
Heterogeneous Medical Data Integration with Multi-Source StyleGAN
MIDL 2024
Kernelised Normalising Flows
ICLR 2024
Iterative Patch Selection for High-Resolution Image Recognition
ICLR 2023
Training Normalizing Flows from Dependent Data
ICML 2023
ContIG: Self-Supervised Multimodal Contrastive Learning for Medical Imaging With Genetics
CVPR 2022
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays
MIDL 2022
Laplace approximated Gaussian process state-space models
UAI 2022
3D Self-Supervised Methods for Medical Imaging
NeurIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
NeurIPS 2020
Two-sample Testing Using Deep Learning
AISTATS 2020
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NeurIPS 2013
Efficient inference in matrix-variate Gaussian models with \iid observation noise
NeurIPS 2011
A kernel method for unsupervised structured network inference
AISTATS 2005