van Amersfoort, Joost

1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
   2025/07/07 by Gheorghe Comanici, Comanici, Gheorghe, Eric Bieber +6844 · 8 voices · 1374 citations
   #cs.CL #cs.AI
2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
   2024/03/08 by Gemini Robotics Team, Gemini Team, Petko Georgiev +2277 · 4 voices · 559 citations
   Computer Science · #Semantic Web and Ontologies
3. Gemma 2: Improving Open Language Models at a Practical Size
   2024/07/31 by Morgane Rivière, Gemma Team, Riviere, Morgane +292 · 311 citations
   Computer Science · #Natural Language Processing Techniques
4. BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
   2019/06/19 by Andreas Kirsch, Joost van Amersfoort, Kirsch, Andreas +3 · 33 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
5. Deep Deterministic Uncertainty: A Simple Baseline
   2021/02/23 by Jishnu Mukhoti, Andreas Kirsch, Mukhoti, Jishnu +7 · 33 citations
   Engineering · Computer Science · Materials Science · #Fault Detection and Control Systems #Machine Learning and Algorithms #Machine Learning in Materials Science
6. On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty
   2021/02/22 by Joost van Amersfoort, Lewis Smith, van Amersfoort, Joost +7 · 11 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
7. Gemini: A Family of Highly Capable Multimodal Models
   2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +2692 · 9 voices
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
8. Transformation-Based Models of Video Sequences
   2017/01/29 by Joost van Amersfoort, van Amersfoort, Joost, Anitha Kannan +9 · 9 citations
   Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Image and Video Quality Assessment
9. Plex: Towards Reliability using Pretrained Large Model Extensions
   2022/07/15 by Dustin Tran, Tran, Dustin, Jeremiah Liu +49 · 7 citations
   Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Domain Adaptation and Few-Shot Learning
10. Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
    2021/11/03 by Andrew Jesson, Panagiotis Tigas, Jesson, Andrew +9 · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistical Methods and Inference
11. Uncertainty Estimation Using a Single Deep Deterministic Neural Network
    2020/03/04 by Joost van Amersfoort, van Amersfoort, Joost, Lewis Smith +5 · 3 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
12. Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
    2022/02/16 by Alizadeh, Milad, Tailor, Shyam A., Zintgraf, Luisa M +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
13. Single Shot Structured Pruning Before Training
    2020/07/01 by van Amersfoort, Joost, Alizadeh, Milad, Farquhar, Sebastian +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
14. Deep Deterministic Uncertainty for Semantic Segmentation
    2021/10/29 by Mukhoti, Jishnu, van Amersfoort, Joost, Torr, Philip H. S. +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)