Erik Daxberger
7 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Models
(3)
Core AI
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
bayesian deep learning
(3)
predictive uncertainty
(2)
laplace approximation
(2)
uncertainty quantification
(2)
visual question answering
(1)
monocular depth estimation
(1)
model uncertainty
(1)
bayesian optimization
(1)
thompson sampling
(1)
posterior approximation
(1)
hyperparameter tuning
(1)
model evidence
(1)
generative model
(1)
surrogate model
(1)
foundation model
(1)
multimodal large language model
(1)
mixed-integer optimization
(1)
deep generative model
(1)
normalization layer
(1)
latent space optimization
(1)
Papers
MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA
ICLR 2025
MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
ICCV 2025
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
ICML 2022
Bayesian Deep Learning via Subnetwork Inference
ICML 2021
Laplace Redux - Effortless Bayesian Deep Learning
NeurIPS 2021
Mixed-Variable Bayesian Optimization
IJCAI 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
NeurIPS 2020