Prof. Bernhard Kainz — Research Profile
Imperial College London · Department of Computing
About
Prof. Bernhard Kainz at Imperial College London Department of Computing lists Machine learning, visualization, medical data analysis as their registered research area.
Research keywords
Recent papers
- Convergent Performance, Divergent Mechanisms in LoRA-Adapted Vision Foundation Models for Brain MRINewPreprintarXiv (Cornell University) · Oct 20
- Semantic Latent Alignment for Flow Matching with Invertible Bi-Lipschitz AdaptersNewPreprintarXiv (Cornell University) · Oct 15
- The Predictability Bias of Joint-Embedding Predictive Learning in Medical ImagingPreprintarXiv (Cornell University) · Oct 9
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Jun Wang 교수 연구실
University College London · Department of Computer Science
iSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMsPreprintarXiv (Cornell University) · Sep 21Shared topic: Domain Adaptation and Few-Shot Learning
Yarin Gal 교수 연구실
University of Oxford · Department of Computer Science
Learning Dynamics of Continual Learning: A Unified View of Data Attribution, Forgetting, and Plasticity LossPreprintarXiv (Cornell University) · Sep 27Shared topic: Domain Adaptation and Few-Shot Learning
Michael Bronstein 교수 연구실
University of Oxford · Department of Computer Science
Global Transport Couplings for Classifier-Free Guided FlowsNewPreprintarXiv (Cornell University) · Oct 6Shared topic: Generative Adversarial Networks and Image Synthesis
Other labs in this department
- Abbas Edalat 교수 연구실
Computational geometry, optimization theory, game theory
- Alastair Donaldson 교수 연구실
Formal verification, software performance optimization
- Aldo Faisal 교수 연구실
Neurotechnology, machine learning, algorithmic behavior prediction
- Alessandra Russo 교수 연구실
Computational logic, logic-based machine learning, autonomous systems
- Alessio Lomuscio 교수 연구실
AI verification, computer vision validation, certified learning
- Andrew Davison 교수 연구실
Computer vision, robotics, SLAM, augmented reality