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Johan Björck

  1. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
    2024/04/22 by Marah Abdin, Jyoti Aneja, Abdin, Marah +262 · 8 voices · 314 citations
    Computer Science · #Computational Physics and Python Applications
  2. Language Is Not All You Need: Aligning Perception with Language Models
    2023/02/27 by Shaohan Huang, Huang, Shaohan, Li Dong +35 · 1 voice · 41 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  3. GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
    2025/03/18 by Nvidia Nvidia, NVIDIA, : +80 · 260 citations
    Engineering · Computer Science · #Robotic Locomotion and Control #Robotic Path Planning Algorithms #Reinforcement Learning in Robotics
  4. Understanding Batch Normalization
    2018/06/01 by Johan Björck, Carla P. Gomes, Bjorck, Johan +5 · 21 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
  5. Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
    2022/08/22 by Wenhui Wang, Wang, Wenhui, Hangbo Bao +19 · 25 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  6. DreamGen: Unlocking Generalization in Robot Learning through Video World Models
    2025/05/19 by Joel Jang, Jang, Joel, Seonghyeon Ye +52 · 44 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robotics (cs.RO)
  7. FLARE: Robot Learning with Implicit World Modeling
    2025/05/21 by Ruijie Zheng, Zheng, Ruijie, Jing Wang +39 · 16 citations
    Computer Science · #Reinforcement Learning in Robotics
  8. Is High Variance Unavoidable in RL? A Case Study in Continuous Control
    2021/10/21 by Johan Björck, Bjorck, Johan, Carla P. Gomes +3 · 4 citations
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Reinforcement Learning in Robotics
  9. Scaling Optimal LR Across Token Horizons
    2024/09/30 by Johan Björck, Bjorck, Johan, Alon Benhaim +7 · 7 citations
    Engineering · #Advanced Measurement and Detection Methods #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Welding Techniques and Residual Stresses