Erik Daxberger
7 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5)
🐝
Cross-Pollinator
(7)
🗺️
Taxonomy Completionist
(16)
🏆
Keyword Champion
(2)
Conferences
ICML (2)
NIPS (2)
ICCV (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
bayesian deep learning
(3)
laplace approximation
(2)
predictive uncertainty
(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)
multimodal large language model
(1)
mixed-integer optimization
(1)
deep generative model
(1)
normalization layer
(1)
latent space optimization
(1)
hyperparameter selection
(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
NIPS 2021
Mixed-Variable Bayesian Optimization
IJCAI 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
NIPS 2020