Desjardins, Guillaume

1. Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
   2024/02/29 by Soham De, De, Soham, Samuel L. Smith +31 · 5 voices · 25 citations
   #cs.LG #cs.CL
2. 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 · 1362 citations
   #cs.CL #cs.AI
3. Progressive Neural Networks
   2016/06/15 by Andrei A. Rusu, Rusu, Andrei A., Neil C. Rabinowitz +13 · 3 voices · 89 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Reinforcement Learning in Robotics #cs.LG
4. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
   2024/04/11 by Aleksandar Botev, Botev, Aleksandar, Soham De +127 · 1 voice · 10 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
5. Policy Distillation
   2015/11/19 by Andrei A. Rusu, Rusu, Andrei A., Sergio Gómez Colmenarejo +15 · 39 citations
   Computer Science · Engineering · #Neural Networks and Reservoir Computing #CCD and CMOS Imaging Sensors #Visual Attention and Saliency Detection
6. Natural Neural Networks
   2015/07/01 by Guillaume Desjardins, Karen Simonyan, Desjardins, Guillaume +5 · 1 voice · 11 citations
   Computer Science · #Neural Networks and Applications #cs.LG #cs.NE #stat.ML
7. Understanding disentangling in β-VAE
   2018/04/10 by Christopher Burgess, Burgess, Christopher P., Irina Higgins +11 · 29 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
8. Gemini: A Family of Highly Capable Multimodal Models
   2023/12/19 by Gemini Team, Rohan Anil, Anil, Rohan +2682 · 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 #cs.AI #cs.CL #cs.CV
9. Reward is enough for convex MDPs
   2021/06/01 by Zahavy, Tom, O'Donoghue, Brendan, Desjardins, Guillaume +1 · 5 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Behavior Priors for Efficient Reinforcement Learning
    2020/10/27 by Tirumala, Dhruva, Galashov, Alexandre, Noh, Hyeonwoo +8 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
11. Imitating Language via Scalable Inverse Reinforcement Learning
    2024/09/02 by Markus Wulfmeier, Wulfmeier, Markus, Michael Bloesch +29 · 3 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Modular Robots and Swarm Intelligence
12. Deep Tempering
    2014/10/01 by Desjardins, Guillaume, Luo, Heng, Courville, Aaron +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
13. Theano: A Python framework for fast computation of mathematical expressions
    2016/05/09 by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume +110 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Symbolic Computation (cs.SC)
14. Information asymmetry in KL-regularized RL
    2019/05/03 by Alexandre Galashov, Galashov, Alexandre, Siddhant M. Jayakumar +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Reinforcement Learning in Robotics
15. Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping
    2021/10/05 by Martens, James, Ballard, Andy, Desjardins, Guillaume +4 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)