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Hussenot, Léonard

  1. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
    2025/07/07 by Gheorghe Comanici, Eric Bieber, Comanici, Gheorghe +6844 · 8 voices · 1358 citations
    #cs.CL #cs.AI
  2. Gemma 3 Technical Report
    2025/03/25 by Gemma Team, Aishwarya Kamath, Johan Ferret +418 · 3 voices · 464 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  3. Gemma 2: Improving Open Language Models at a Practical Size
    2024/07/31 by Morgane Rivière, Gemma Team, Riviere, Morgane +292 · 307 citations
    Computer Science · #Natural Language Processing Techniques
  4. Gemma: Open Models Based on Gemini Research and Technology
    2024/03/13 by Gemma Team, Thomas Mésnard, Mesnard, Thomas +203 · 147 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation
  5. 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
  6. MedGemma 1.5 Technical Report
    2025/07/07 by Andrew Sellergren, Sellergren, Andrew, Sahar Kazemzadeh +151 · 84 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  7. Primal Wasserstein Imitation Learning
    2020/06/08 by Dadashi, Robert, Hussenot, Léonard, Geist, Matthieu +1 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. WARM: On the Benefits of Weight Averaged Reward Models
    2024/01/22 by Ramé, Alexandre, Vieillard, Nino, Hussenot, Léonard +4 · 15 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
    2021/11/04 by Sabela Ramos, Ramos, Sabela, Sertan Girgin +21 · 9 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Scientific Computing and Data Management #Data Stream Mining Techniques
  10. 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
  11. What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
    2020/06/10 by Andrychowicz, Marcin, Raichuk, Anton, Stańczyk, Piotr +9 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. MusicRL: Aligning Music Generation to Human Preferences
    2024/02/06 by Cideron, Geoffrey, Girgin, Sertan, Verzetti, Mauro +11 · 10 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  13. BOND: Aligning LLMs with Best-of-N Distillation
    2024/07/19 by Pier Giuseppe Sessa, Sessa, Pier Giuseppe, Robert Dadashi +37 · 9 citations
    Engineering · #Advanced Control Systems Optimization
  14. Conditional Language Policy: A General Framework for Steerable Multi-Objective Finetuning
    2024/07/22 by Kaiwen Wang, Rahul Kidambi, Wang, Kaiwen +36 · 8 citations
    Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Linguistic research and analysis #Machine Learning (cs.LG) #Natural Language Processing Techniques #Syntax, Semantics, Linguistic Variation
  15. Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
    2023/05/31 by Roit, Paul, Ferret, Johan, Shani, Lior +16 · 5 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  16. Acme: A Research Framework for Distributed Reinforcement Learning
    2020/06/01 by Hoffman, Matthew W., Shahriari, Bobak, Aslanides, John +36 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. What Matters for Adversarial Imitation Learning?
    2021/06/01 by Orsini, Manu, Raichuk, Anton, Hussenot, Léonard +7 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  18. Offline Reinforcement Learning as Anti-Exploration
    2021/06/11 by Shideh Rezaeifar, Rezaeifar, Shideh, Robert Dadashi +10 · 3 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
  19. WARP: On the Benefits of Weight Averaged Rewarded Policies
    2024/06/24 by Alexandre Ramé, Johan Ferret, Ramé, Alexandre +17 · 4 citations
    Health Professions · Medicine · #Obesity and Health Practices #Health Promotion and Cardiovascular Prevention
  20. Offline Reinforcement Learning with Pseudometric Learning
    2021/03/02 by Dadashi, Robert, Rezaeifar, Shideh, Vieillard, Nino +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Continuous Control with Action Quantization from Demonstrations
    2021/10/19 by Dadashi, Robert, Hussenot, Léonard, Vincent, Damien +4 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  22. Learning Energy Networks with Generalized Fenchel-Young Losses
    2022/05/19 by Mathieu Blondel, Felipe Llinares-López, Blondel, Mathieu +7 · 2 citations
    Computer Science · Materials Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  23. CopyCAT: Taking Control of Neural Policies with Constant Attacks
    2019/05/29 by Léonard Hussenot, Hussenot, Léonard, Matthieu Geist +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI)