Shakir Mohamed
- 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 · 1370 citations
#cs.CL #cs.AI
- Probabilistic weather forecasting with machine learning
2024/12/04 by Ilan Price, Álvaro Sánchez‐González, Ferran Alet +9 · 3 voices · 155 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Tropical and Extratropical Cyclones Research
- Normalizing Flows for Probabilistic Modeling and Inference
2019/12/05 by George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende +2 · 1 voice · 103 citations
#stat.ML #cs.LG
- Variational Inference with Normalizing Flows
2015/05/21 by Danilo Jimenez Rezende, Rezende, Danilo Jimenez, Shakir Mohamed +1 · 1 voice · 211 citations
#stat.ML #cs.AI #cs.LG #stat.CO #stat.ME
- GraphCast: Learning skillful medium-range global weather forecasting
2022/12/24 by Rémi Lam, Remi Lam, Lam, Remi +35 · 3 voices · 27 citations
Computer Science · Environmental Science · Physics and Astronomy · #Advanced Graph Neural Networks #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #cs.LG #physics.ao-ph
- Semi-Supervised Learning with Deep Generative Models
2014/06/20 by Diederik P. Kingma, Kingma, Diederik P., Danilo Jimenez Rezende +5 · 129 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models
- Monte Carlo Gradient Estimation in Machine Learning
2019/06/25 by Shakir Mohamed, Mihaela Rosca, Michael Figurnov +1 · 2 voices · 15 citations
Mathematics · Computer Science · #stat.ML #cs.LG #math.OC
- Unsupervised Predictive Memory in a Goal-Directed Agent
2018/03/28 by Greg Wayne, Wayne, Greg, Chia-Chun Hung +50 · 1 voice · 7 citations
Computer Science · Neuroscience · #Explainable Artificial Intelligence (XAI) #Neural dynamics and brain function #Reinforcement Learning in Robotics #cs.LG #stat.ML
- Learning skillful medium-range global weather forecasting
2023/11/14 by Rémi Lam, Álvaro Sánchez‐González, Matthew Willson +15 · 145 citations
Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research
- GenCast: Diffusion-based ensemble forecasting for medium-range weather
2023/12/25 by Ilan Price, Price, Ilan, Álvaro Sánchez‐González +23 · 3 voices · 28 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Flood Risk Assessment and Management #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #cs.LG #physics.ao-ph
- A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
2024/05/31 by Piotr Wojciech Mirowski, Juliette Love, Mirowski, Piotr Wojciech +5 · 3 voices · 8 citations
#cs.AI #cs.CL
- Skilful precipitation nowcasting using deep generative models of radar
2021/09/29 by Suman Ravuri, Karel Lenc, Matthew Willson +17 · 31 citations
Earth and Planetary Sciences · Environmental Science · #Flood Risk Assessment and Management #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
- Power to the People? Opportunities and Challenges for Participatory AI
2022/09/15 by Abeba Birhane, William M. Isaac, William Isaac +5 · 1 voice · 24 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Innovative Human-Technology Interaction #Mobile Crowdsensing and Crowdsourcing #cs.CY
- Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
2015/09/29 by Shakir Mohamed, Danilo Jimenez Rezende, Mohamed, Shakir +1 · 17 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
- The Cramer Distance as a Solution to Biased Wasserstein Gradients
2017/05/30 by Marc G. Bellemare, Bellemare, Marc G., Ivo Danihelka +11 · 15 citations
Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Analysis and Transform Methods #Point processes and geometric inequalities
- Learning in Implicit Generative Models
2016/10/11 by Shakir Mohamed, Balaji Lakshminarayanan, Mohamed, Shakir +1 · 23 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
- Recurrent Environment Simulators
2017/04/07 by Silvia Chiappa, Sébastien Racanière, Chiappa, Silvia +5 · 16 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Evacuation and Crowd Dynamics
- Stochastic Backpropagation and Approximate Inference in Deep Generative\n Models
2014/01/16 by Danilo Jimenez Rezende, Shakir Mohamed, Rezende, Danilo Jimenez +3 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Normalizing Flows on Riemannian Manifolds
2016/11/07 by Mevlana Gemici, Gemici, Mevlana C., Danilo Jimenez Rezende +3 · 7 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistics Theory (math.ST)
- Early Visual Concept Learning with Unsupervised Deep Learning
2016/06/17 by Irina Higgins, Löıc Matthey, Higgins, Irina +13 · 8 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neurons and Cognition (q-bio.NC)
- One-Shot Generalization in Deep Generative Models
2016/03/16 by Danilo Jimenez Rezende, Rezende, Danilo Jimenez, Shakir Mohamed +7 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Variational Approaches for Auto-Encoding Generative Adversarial Networks
2017/06/15 by Mihaela Rosca, Balaji Lakshminarayanan, Rosca, Mihaela +5 · 8 citations
Computer Science · Physics and Astronomy · #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- A review of radar-based nowcasting of precipitation and applicable machine learning techniques
2020/05/11 by Rachel Prudden, Samantha V. Adams, Prudden, Rachel +11 · 4 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Flood Risk Assessment and Management #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
- The Illusion of Artificial Inclusion
2024/01/16 by William S. Agnew, William Agnew, A. Stevie Bergman +7 · 3 voices · 4 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Innovative Human-Technology Interaction #Persona Design and Applications #cs.CY
- Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
2017/10/23 by William Fedus, Fedus, William, Mihaela Rosca +9 · 5 citations
Economics, Econometrics and Finance · Energy · #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Global Energy and Sustainability Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Market Dynamics and Volatility
- Unsupervised Learning of 3D Structure from Images
2016/07/03 by Danilo Jimenez Rezende, Rezende, Danilo Jimenez, S. M. Ali Eslami +9 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Implicit Reparameterization Gradients
2018/05/22 by Michael Figurnov, Figurnov, Michael, Shakir Mohamed +3 · 2 citations
Computer Science · Physics and Astronomy · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Distribution Matching in Variational Inference
2018/02/19 by Mihaela Rosca, Rosca, Mihaela, Balaji Lakshminarayanan +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Topic Modeling
- Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques
2007/04/26 by Fulufhelo V. Nelwamondo, Nelwamondo, Fulufhelo V., Shakir Mohamed +3 · 1 citation
Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Epistemic Injustice in Generative AI
2024/08/21 by Jackie Kay, Atoosa Kasirzadeh, Kay, Jackie +3 · 3 citations
Arts and Humanities · Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Epistemology, Ethics, and Metaphysics #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Psychology of Moral and Emotional Judgment
- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
2017/11/22 by Matthew Botvinick, Botvinick, M., David G. T. Barrett +35 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #AI-based Problem Solving and Planning
- Contextualizing ancient texts with generative neural networks
2025/07/23 by Yannis Assael, Thea Sommerschield, Alison Cooley +11 · 3 voices · 2 citations
Computer Science · Arts and Humanities · #Topic Modeling #Natural Language Processing Techniques #Digital Humanities and Scholarship
- Evaluating Gemini in an arena for learning
2025/05/30 by Abhinit Modi, LearnLM Team, Modi, Abhinit +70 · 5 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #Computers and Society (cs.CY) #Construction Project Management and Performance #FOS: Computer and information sciences #Machine Learning (cs.LG)