Björn Lütjens
5 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
👥
Mega-Team · Legion
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Core AI
(2)
Domain-Specific
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Analysis
(1)
Application Areas
(1)
Core Methods
(1)
Methods · Data Science & Analytics
(1)
Methods · Reinforcement Learning
(1)
Keywords
remote sensing
(2)
high-resolution simulation
(2)
reinforcement learning
(1)
semantic segmentation
(1)
adversarial robustness
(1)
object detection
(1)
self-supervised learning
(1)
deep learning
(1)
time series
(1)
foundation model
(1)
formal guarantee
(1)
satellite imagery
(1)
certified defense
(1)
climate simulation
(1)
deep q-network
(1)
aerial imagery
(1)
tree detection
(1)
worst-case deviation
(1)
physics-ml hybrid
(1)
neural network emulator
(1)
Papers
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
JMLR 2025
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
NeurIPS 2023
GEO-Bench: Toward Foundation Models for Earth Monitoring
NeurIPS 2023
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
AAAI 2022
Certified Adversarial Robustness for Deep Reinforcement Learning
CoRL 2019