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Aurko Roy

  1. Adversarial Patch
    2017/12/27 by T. B. Brown, Tom B. Brown, Dandelion Mané +9 · 6 voices · 41 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Digital Media Forensic Detection
  2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
    2024/03/08 by Gemini Robotics Team, Petko Georgiev, Gemini Team +2277 · 4 voices · 634 citations
    Computer Science · #Semantic Web and Ontologies
  3. 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 · 1393 citations
    #cs.CL #cs.AI
  4. PaLM 2 Technical Report
    2023/05/17 by Rohan Anil, Anil, Rohan, Andrew M. Dai +224 · 83 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  5. Gemini: A Family of Highly Capable Multimodal Models
    2023/12/19 by Gemini Robotics Team, Rohan Anil, Gemini Team +2692 · 9 voices · 6 citations
    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
  6. Fast and Simplex: 2-Simplicial Attention in Triton
    2025/07/03 by Aurko Roy, Roy, Aurko, Timothy Chou +13 · 6 voices · 2 citations
    #cs.LG #cs.AI
  7. Theory and Experiments on Vector Quantized Autoencoders
    2018/05/28 by Aurko Roy, Ashish Vaswani, Roy, Aurko +5 · 14 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis
  8. Fast Decoding in Sequence Models using Discrete Latent Variables
    2018/03/09 by Łukasz Kaiser, Kaiser, Łukasz, Aurko Roy +11 · 22 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  9. Learning to Remember Rare Events
    2017/03/09 by Łukasz Kaiser, Ofir Nachum, Kaiser, Łukasz +5 · 14 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
  10. Reinforcement Learning under Model Mismatch
    2017/06/15 by Aurko Roy, Roy, Aurko, Huan Xu +3 · 6 citations
    Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  11. Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
    2018/07/19 by David Berthelot, Berthelot, David, Colin Raffel +5 · 3 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  12. N-Grammer: Augmenting Transformers with latent n-grams
    2022/07/13 by Aurko Roy, Rohan Anil, Roy, Aurko +29 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling