Vilnis, Luke

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 · 1385 citations
   #cs.CL #cs.AI
2. 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 · 579 citations
   Computer Science · #Semantic Web and Ontologies
3. Adding Gradient Noise Improves Learning for Very Deep Networks
   2015/11/21 by Arvind Neelakantan, Neelakantan, Arvind, Luke Vilnis +11 · 33 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
4. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
   2017/11/15 by Rajarshi Das, Shehzaad Dhuliawala, Das, Rajarshi +13 · 35 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
5. CodeGemma: Open Code Models Based on Gemma
   2024/06/17 by CodeGemma Team, Zhao, Heri, Hui, Jeffrey +24 · 41 citations
   Computer Science · #Model-Driven Software Engineering Techniques #Open Education and E-Learning #Semantic Web and Ontologies
6. Word Representations via Gaussian Embedding
   2014/12/20 by Vilnis, Luke, McCallum, Andrew · 10 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
   2018/05/17 by Vilnis, Luke, Li, Xiang, Murty, Shikhar +1 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Improving Local Identifiability in Probabilistic Box Embeddings
   2020/10/09 by Shib Sankar Dasgupta, Michael Boratko, Dasgupta, Shib Sankar +9 · 2 citations
   Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
9. Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
   2022/10/18 by Luke Vilnis, Vilnis, Luke, Yury Zemlyanskiy +7 · 2 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Data Classification
10. MEMORY-VQ: Compression for Tractable Internet-Scale Memory
    2023/08/28 by Yury Zemlyanskiy, Michiel de Jong, Zemlyanskiy, Yury +11 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling