Sharad Vikram

1. 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 · 629 citations
   Computer Science · #Semantic Web and Ontologies
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 · 1393 citations
   #cs.CL #cs.AI
3. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
   2024/04/11 by Aleksandar Botev, Soham De, Botev, Aleksandar +127 · 1 voice · 11 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
4. Gemini: A Family of Highly Capable Multimodal Models
   2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +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
5. What Are Bayesian Neural Network Posteriors Really Like?
   2021/04/29 by Pavel Izmailov, Sharad Vikram, Izmailov, Pavel +5 · 23 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
6. Training Chain-of-Thought via Latent-Variable Inference
   2023/11/28 by Du Phan, Phan, Du, Matthew D. Hoffman +17 · 15 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
7. Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
   2015/11/11 by Zachary C. Lipton, Lipton, Zachary C., Sharad Vikram +3 · 6 citations
   Computer Science · #Topic Modeling #Sentiment Analysis and Opinion Mining #Multimodal Machine Learning Applications
8. How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
   2019/03/28 by Quan Vuong, Vuong, Quan, Sharad Vikram +7 · 4 citations
   Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Advanced Multi-Objective Optimization Algorithms