Guodong Zhang
- Deformable Convolutional Networks
2017/03/17 by Jifeng Dai, Haozhi Qi, Dai, Jifeng +11 · 3 voices · 139 citations
Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Robotics and Sensor-Based Localization #cs.CV
- Benchmarking Model-Based Reinforcement Learning
2019/07/03 by Tingwu Wang, Xuchan Bao, Wang, Tingwu +17 · 1 voice · 28 citations
Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Elevator Systems and Control #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Scheduling and Optimization Algorithms #cs.AI #cs.LG #cs.RO #stat.ML
- 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
- Three Mechanisms of Weight Decay Regularization
2018/10/29 by Guodong Zhang, Chaoqi Wang, Zhang, Guodong +5 · 19 citations
Computer Science · #Neural Networks and Applications #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques
- Functional Variational Bayesian Neural Networks
2019/03/14 by Shengyang Sun, Guodong Zhang, Sun, Shengyang +5 · 15 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
2019/07/09 by Guodong Zhang, Lala Li, Zhang, Guodong +13 · 9 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Noisy Natural Gradient as Variational Inference
2017/12/06 by Guodong Zhang, Shengyang Sun, Zhang, Guodong +5 · 11 citations
Computer Science · #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification
- Topology optimization of energy absorbing structures with maximum damage constraint
2017/02/17 by Lei Li, Guodong Zhang, Kapil Khandelwal · 6 citations
Engineering · #Topology Optimization in Engineering #Composite Structure Analysis and Optimization #Composite Material Mechanics
- Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
2023/02/20 by Bobby He, James Martens, He, Bobby +11 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Capping the positivity cone: dimension-8 Higgs operators in the SMEFT
2023/09/27 by Qing Chen, Ken Mimasu, Chen, Qing +7 · 5 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #Electron Spin Resonance Studies #Advanced NMR Techniques and Applications #Magnetism in coordination complexes
- Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
2021/07/21 by Guodong Zhang, Kyle Hsu, Zhang, Guodong +7 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference
- Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks
2019/05/27 by Guodong Zhang, Zhang, Guodong, James Martens +3 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Phylogeny and morphology of Ophiocordyceps puluongensis sp. nov. (Ophiocordycipitaceae, Hypocreales), a new fungal pathogen on termites from Vietnam
2022/05/23 by Zhi-Hong Xu, Zhihong Xu, Ngoc-Lan Tran +8 · 2 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Entomopathogenic Microorganisms in Pest Control #Insect and Arachnid Ecology and Behavior #Plant and animal studies
- Spinning Q-ball Superradiance in 3+1D
2024/02/05 by Guodong Zhang, Fu-Ming Chang, Zhang, Guo-Dong +7 · 3 citations
Engineering · Mathematics · #graph theory and CDMA systems #Mathematics and Applications
- A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
2020/09/23 by Guodong Zhang, Zhang, Guodong, Xuchan Bao +5 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Differentiable Compositional Kernel Learning for Gaussian Processes
2018/06/12 by Shengyang Sun, Sun, Shengyang, Guodong Zhang +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Time Series Analysis and Forecasting
- Learning to Give Checkable Answers with Prover-Verifier Games
2021/08/27 by Cem Anil, Guodong Zhang, Anil, Cem +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Strategy-Driven Limit Theorems Associated Bandit Problems
2022/04/09 by Zengjing Chen, Shui Feng, Chen, Zengjing +3 · 1 citation
Computer Science · Decision Sciences · Physics and Astronomy · #60F10 #Advanced Bandit Algorithms Research #FOS: Mathematics #Machine Learning and Algorithms #Primary 60F05 #Probability (math.PR) #Statistical Mechanics and Entropy #secondary 62C86
- Unexpected Collisional Rotational Excitation via Long-Range Capture and Orbiting
2026/07/24 by Dasarath Swaraj, Guodong Zhang, Siting Hou +9
#physics.chem-ph