Johan Bjorck
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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Renaissance Researcher
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Research topics
Keywords
vision-language model
(3)
neural network optimization
(2)
computational sustainability
(2)
continuous control
(2)
gradient descent
(2)
reinforcement learning
(2)
generalization
(2)
image classification
(1)
dimensionality reduction
(1)
active learning
(1)
transfer learning
(1)
open-vocabulary detection
(1)
multimodal learning
(1)
image captioning
(1)
image generation
(1)
zero-shot learning
(1)
transformer architecture
(1)
loss landscape
(1)
remote sensing
(1)
hyperparameter transfer
(1)
Papers
LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight
CVPR 2026
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
CoRL 2025
FLARE: Robot Learning with Implicit World Modeling
CoRL 2025
Scaling Optimal LR Across Token Horizons
ICLR 2025
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks
CVPR 2023
Bootstrapping a high quality multilingual multimodal
dataset for Bletchley
ACML 2022
Is High Variance Unavoidable in RL? A Case Study in Continuous Control
ICLR 2022
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing
AAAI 2021
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
AAAI 2021
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility
AAAI 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
Understanding Decoupled and Early Weight Decay
AAAI 2021
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
AAAI 2019