Berrada, Leonard
- Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
2024/02/29 by Soham De, Samuel L. Smith, De, Soham +31 · 5 voices · 25 citations
#cs.LG #cs.CL
- 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 · 1362 citations
#cs.CL #cs.AI
- 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
- Unlocking High-Accuracy Differentially Private Image Classification through Scale
2022/04/28 by Soham De, Leonard Berrada, De, Soham +7 · 9 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- ConvNets Match Vision Transformers at Scale
2023/10/25 by Samuel L. Smith, Smith, Samuel L., Andrew Brock +5 · 2 voices · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.CV #cs.LG #cs.NE
- Differentially Private Diffusion Models Generate Useful Synthetic Images
2023/02/27 by Sahra Ghalebikesabi, Ghalebikesabi, Sahra, Leonard Berrada +17 · 9 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Training Neural Networks for and by Interpolation
2019/06/13 by Leonard Berrada, Andrew Zisserman, Berrada, Leonard +3 · 6 citations
Computer Science · Physics and Astronomy · #Neural Networks and Applications #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks
- Operationalizing Contextual Integrity in Privacy-Conscious Assistants
2024/08/05 by Ghalebikesabi, Sahra, Bagdasaryan, Eugene, Yi, Ren +10 · 10 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
- Smooth Loss Functions for Deep Top-k Classification
2018/02/21 by Leonard Berrada, Andrew Zisserman, Berrada, Leonard +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Make Sure You're Unsure: A Framework for Verifying Probabilistic\n Specifications
2021/02/18 by Leonard Berrada, Sumanth Dathathri, Berrada, Leonard +14 · 1 citation
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Fault Detection and Control Systems
- A Stochastic Bundle Method for Interpolating Networks
2022/01/29 by Paren, Alasdair, Berrada, Leonard, Poudel, Rudra P. K. +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Unlocking Accuracy and Fairness in Differentially Private Image Classification
2023/08/21 by Berrada, Leonard, De, Soham, Shen, Judy Hanwen +6 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)