Amir Globerson
- 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 · 1378 citations
#cs.CL #cs.AI
- 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 · 564 citations
Computer Science · #Semantic Web and Ontologies
- Dissecting Recall of Factual Associations in Auto-Regressive Language Models
2023/04/28 by Mor Geva, Jasmijn Bastings, Geva, Mor +5 · 2 voices · 61 citations
Computer Science · Social Sciences · #Computational and Text Analysis Methods #Natural Language Processing Techniques #Topic Modeling #cs.CL
- In-Context Learning Creates Task Vectors
2023/10/24 by Roee Hendel, Hendel, Roee, Mor Geva +3 · 3 voices · 47 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Topic Modeling #cs.CL
- Graph Neural Networks Use Graphs When They Shouldn't
2023/09/08 by Maya Bechler-Speicher, Ido Amos, Bechler-Speicher, Maya +5 · 2 voices · 7 citations
#cs.LG #cs.AI
- LM vs LM: Detecting Factual Errors via Cross Examination
2023/05/22 by Roi Cohen, May Hamri, Cohen, Roi +5 · 2 voices · 18 citations
Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
- Evaluating the Ripple Effects of Knowledge Editing in Language Models
2023/07/24 by Roi Cohen, Eden Biran, Cohen, Roi +7 · 21 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
2017/02/26 by Alon Brutzkus, Amir Globerson, Brutzkus, Alon +1 · 12 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Gemini: A Family of Highly Capable Multimodal Models
2023/12/19 by Gemini Robotics Team, Gemini Team, Rohan Anil +2692 · 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 #Multimodal Machine Learning Applications #Natural Language Processing Techniques #cs.AI #cs.CL #cs.CV
- Explaining in Style: Training a GAN to explain a classifier in StyleSpace
2021/04/27 by Oran Lang, Lang, Oran, Yossi Gandelsman +19 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #electronic engineering #information engineering
- Crawling the Internal Knowledge-Base of Language Models
2023/01/30 by Roi Cohen, Cohen, Roi, Mor Geva +5 · 9 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Software Engineering Research
- DeciMamba: Exploring the Length Extrapolation Potential of Mamba
2024/06/20 by Assaf Ben-Kish, Ben-Kish, Assaf, Itamar Zimerman +11 · 9 citations
Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Urban and Rural Development Challenges
- Finding Visual Task Vectors
2024/04/08 by Alberto Hojel, Yutong Bai, Hojel, Alberto +7 · 5 citations
Computer Science · #Human Pose and Action Recognition #Data Visualization and Analytics #Gaze Tracking and Assistive Technology
- Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation
2024/06/06 by Adam Fisch, Joshua Maynez, Fisch, Adam +9 · 5 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
- What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary
2022/12/20 by Ori Ram, Ram, Ori, Liat Bezalel +9 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Topic Modeling
- Compositional Video Synthesis with Action Graphs
2020/06/27 by Amir Bar, Roei Herzig, Bar, Amir +11 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Video Analysis and Summarization
- Learning Object Permanence from Video
2020/03/23 by Aviv Shamsian, Ofri Kleinfeld, Shamsian, Aviv +5 · 2 citations
Computer Science · #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- DETReg: Unsupervised Pretraining with Region Priors for Object Detection
2021/06/08 by Amir Bar, Bar, Amir, Xin Wang +15 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models
2024/07/28 by Nitzan Bitton-Guetta, Aviv Slobodkin, Bitton-Guetta, Nitzan +15 · 4 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- What Cannot be Learned with Bethe Approximations
2012/02/14 by Uri Heinemann, Heinemann, Uri, Amir Globerson +1 · 1 citation
Computer Science · Mathematics · #Machine Learning and Algorithms #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
- Towards an AI-Augmented Textbook
2025/09/13 by LearnLM Team, Google, : +69 · 2 voices · 1 citation
Computer Science · #Computers and Society (cs.CY) #Edcuational Technology Systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #cs.CY #cs.HC
- Regularizing Towards Permutation Invariance in Recurrent Models
2020/10/25 by Edo Cohen-Karlik, Cohen-Karlik, Edo, Avichai Ben David +3 · 1 citation
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computational Geometry and Mesh Generation #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bayesian Prediction-Powered Inference
2024/05/09 by Roswitha Hofer, Joshua Maynez, Hofer, R. Alex +9 · 2 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Machine Learning and Data Classification
- When Can Transformers Count to n?
2024/07/21 by Gilad Yehudai, Yehudai, Gilad, Haim Kaplan +9 · 2 citations
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- On the Implicit Bias of Gradient Descent for Temporal Extrapolation
2022/02/09 by Edo Cohen-Karlik, Avichai Ben David, Cohen-Karlik, Edo +5 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Provable Benefits of Complex Parameterizations for Structured State Space Models
2024/10/17 by Yuval Ran-Milo, Eden Lumbroso, Ran-Milo, Yuval +9 · 2 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Simulation Techniques and Applications
- PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
2022/12/08 by Roei Herzig, Ofir Abramovich, Herzig, Roei +13 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
- Do LLMs have Consistent Values?
2024/07/16 by Naama Rozen, Rozen, Naama, Bezalel, Liat +6 · 1 citation
Business, Management and Accounting · #Cooperative Studies and Economics
- Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
2024/02/12 by Noam Razin, Razin, Noam, Yotam Alexander +9 · 1 citation
Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Economic Policies and Impacts #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Systems and Control (eess.SY) #electronic engineering #information engineering
- On the Utilization of Unique Node Identifiers in Graph Neural Networks
2024/11/04 by Maya Bechler-Speicher, Moshe Eliasof, Bechler-Speicher, Maya +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Towards Invariance to Node Identifiers in Graph Neural Networks
2025/02/19 by Maya Bechler-Speicher, Moshe Eliasof, Bechler-Speicher, Maya +7 · 1 citation
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications