31. Building Normalizing Flows with Stochastic Interpolants
    2022/09/30 by Michael S. Albergo, Eric Vanden-Eijnden, Eric Vanden‐Eijnden +2 · 1 voice · 334 citations
    Computer Science · Mathematics · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #Algorithm #Applied mathematics #Density estimation #Differential equation #Estimator #Flow (mathematics) #Gaussian #Generative Adversarial Networks and Image Synthesis #Geometry #Mathematical analysis #Mathematical optimization #Mathematics #Model Reduction and Neural Networks #Ordinary differential equation #Probability density function #Statistics #Stochastic differential equation #cs.LG #stat.ML
32. Estimates for fundamental solutions of parabolic equations in non-divergence form
    2022/09/19 by Hongjie Dong, Seick Kim, Sungjin Lee · 7 citations
    Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Applied mathematics #Differential Equations and Boundary Problems #Divergence (linguistics) #Gaussian #Mathematical analysis #Mathematics #Nonlinear Partial Differential Equations #Order (exchange) #Oscillation (cell signaling) #Parabolic partial differential equation #Partial differential equation #Variable (mathematics)
33. An ℓp theory of PCA and spectral clustering
    2022/08/01 by Emmanuel Abbé, Emmanuel Abbe, Jianqing Fan +1 · 32 citations
    Computer Science · Engineering · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Blind Source Separation Techniques #Cluster analysis #Computer science #Eigenvalues and eigenvectors #Gaussian #Heteroscedasticity #Mathematics #Matrix norm #Pattern recognition (psychology) #Principal component analysis #Random Matrices and Applications #Sparse PCA #Sparse and Compressive Sensing Techniques #Spectral clustering #Statistics
34. Markovian Gaussian Process Variational Autoencoders
    2022/07/12 by Hong Zhu, Carles Balsells Rodas, Zhu, Harrison +3 · 5 citations
    Computer Science · Environmental Science · Mathematics · #Air Quality Monitoring and Forecasting #Algorithm #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Context (archaeology) #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Kalman filter #Leverage (statistics) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov process #Mathematics #Representation (politics) #Scalability #Series (stratigraphy) #Smoothing #Time Series Analysis and Forecasting
35. Supervised Training of Conditional Monge Maps
    2022/06/28 by Charlotte Bunne, Andreas Krause, Bunne, Charlotte +3 · 15 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Algorithm #Artificial intelligence #Combinatorics #Computer science #Context (archaeology) #Discrete mathematics #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian #Geometry #Initialization #Machine Learning (cs.LG) #Machine Learning in Healthcare #Mathematics #Parameterized complexity #Physics #Regular polygon
36. GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation
    2022/04/12 by Shin-Fang Chng, Chng, Shin-Fang, Sameera Ramasinghe +5 · 15 citations
    Computer Science · Engineering · Mathematics · #3D Shape Modeling and Analysis #Acoustics #Advanced Vision and Imaging #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Embedding #FOS: Computer and information sciences #Fidelity #Field (mathematics) #Gaussian #Geography #High fidelity #Mathematics #Physics #Pose #Radiance #Remote sensing #Robotics and Sensor-Based Localization #Telecommunications #cs.CV
37. Almost-optimal bulk regularity conditions in the CLT for Wigner matrices
    2022/04/07 by Benjamin Landon, Landon, Benjamin, Philippe Sosoe +1 · 4 citations
    Mathematics · #Advanced Algebra and Geometry #Distribution (mathematics) #FOS: Mathematics #Gaussian #Mathematical analysis #Mathematical physics #Mathematics #Physics #Probability (math.PR) #Pure mathematics #Quantum #Quantum mechanics #Random Matrices and Applications #Sobolev space #Space (punctuation) #Spectral Theory in Mathematical Physics #Spectral analysis #Spectroscopy #Wigner distribution function #math.PR
38. PUTN: A Plane-fitting based Uneven Terrain Navigation Framework
    2022/03/09 by Zhuozhu Jian, Zihong Lu, Jian, Zhuozhu +11 · 6 citations
    Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Computer science #Computer vision #FOS: Computer and information sciences #Gaussian #Gaussian process #Geography #Mathematical optimization #Mathematics #Motion planning #Random tree #Robot #Robotic Path Planning Algorithms #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Robustness (evolution) #Terrain #Trajectory
39. On the Lipschitz Properties of Transportation Along Heat Flows
    2022/01/04 by Dan Mikulincer, Yair Shenfeld, Mikulincer, Dan +1 · 10 citations
    Mathematics · #Distribution (mathematics) #Eigenvalues and eigenvectors #Gaussian #Geometric Analysis and Curvature Flows #Lipschitz continuity #Mathematical Dynamics and Fractals #Mathematical analysis #Mathematics #Physics #Point processes and geometric inequalities
40. Spatio-Temporal Variational Gaussian Processes
    2021/11/02 by Oliver Hamelijnck, Hamelijnck, Oliver, William J. Wilkinson +8 · 10 citations
    Computer Science · Engineering · Mathematics · #Algorithm #Applied mathematics #Approximate inference #Artificial intelligence #Computer science #Control Systems and Identification #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Independence (probability theory) #Inference #Mathematical optimization #Mathematics #Random field #Scaling #Smoothing #Target Tracking and Data Fusion in Sensor Networks #cs.LG #stat.ML
41. Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
    2021/10/31 by Yuhui Quan, Zicong Wu, Quan, Yuhui +3 · 24 citations
    Computer Science · Engineering · Mathematics · #Advanced Image Processing Techniques #Artificial intelligence #Computer science #Computer vision #Deblurring #Deep learning #Focus (optics) #Gaussian #Image (mathematics) #Image Processing Techniques and Applications #Image and Signal Denoising Methods #Image processing #Image restoration #Kernel (algebra) #Mathematics #Optics #cs.CV
42. The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
    2021/06/11 by Geoff Pleiss, Pleiss, Geoff, John P. Cunningham +1 · 5 citations
    Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Deep learning #Deep neural networks #Econometrics #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #Generalization #Machine Learning and Data Classification #Machine learning #Mathematics #Nonparametric statistics #Pattern recognition (psychology) #Perspective (graphical) #Physics #Process (computing) #Regularization (linguistics) #Statistical Mechanics and Entropy #cs.LG #stat.ML
43. Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
    2021/06/04 by Youming Tao, Yulian Wu, Tao, Youming +5 · 6 citations
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Age of Information Optimization #Algorithm #Bounded function #Computer science #Differential privacy #Estimator #FOS: Computer and information sciences #Gaussian #Machine Learning (cs.LG) #Machine learning #Mathematical optimization #Mathematics #Privacy-Preserving Technologies in Data #Regret #Statistics #Upper and lower bounds #cs.LG
44. Non-Gaussian Quantum States and Where to Find Them
    2021/04/30 by Mattia Walschaers · 278 citations
    Computer Science · Physics and Astronomy · #Gaussian #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum mechanics #Statistical physics #quant-ph
45. A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications
    2021/04/30 by Frédéric Ouimet · 11 citations
    Computer Science · Mathematics · #Applied mathematics #Bayesian Methods and Mixture Models #Estimator #Gaussian #Mathematical analysis #Mathematics #Multivariate normal distribution #Multivariate statistics #Physics #Pointwise #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics #Wishart distribution #math.PR #math.ST #msc:62B15 #msc:62E20 #msc:62G05 #msc:62G07 #msc:62H10 #msc:62H12 #stat.TH
46. Designing a Practical Degradation Model for Deep Blind Image\n Super-Resolution
    2021/03/25 by Kai Zhang, Jingyun Liang, Zhang, Kai +5 · 105 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Artificial intelligence #Bicubic interpolation #Bilinear interpolation #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Degradation (telecommunications) #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian #Gaussian network model #Gaussian noise #Image (mathematics) #Image and Video Processing (eess.IV) #Image processing #Image restoration #Infrared Target Detection Methodologies #Linear interpolation #Noise (video) #Optical Systems and Laser Technology #Pattern recognition (psychology) #Upsampling #cs.CV #eess.IV #electronic engineering #information engineering
47. High-Dimensional Gaussian Process Inference with Derivatives
    2021/02/15 by Filip de Roos, de Roos, Filip, Alexandra Gessner +3 · 5 citations
    Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Computer science #Derivative (finance) #Dilemma #Dimension (graph theory) #Eigenvalues and eigenvectors #Function (biology) #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian function #Gaussian process #Geometry #Gramian matrix #Inference #Kernel (algebra) #Markov Chains and Monte Carlo Methods #Mathematical optimization #Mathematics #Physics #Pure mathematics #Quantum mechanics #Scientific Research and Discoveries #Statistical physics #cs.LG
48. Bayesian Neural Network Priors Revisited
    2021/02/12 by Vincent Fortuin, Adrià Garriga-Alonso, Fortuin, Vincent +13 · 24 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Bayesian inference #Bayesian probability #Computer science #Convolutional neural network #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine learning #Pattern recognition (psychology) #Prior probability #cs.LG #stat.ML
49. Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM
    2021/01/31 by Muyuan Chen, Steven Ludtke, Steven J. Ludtke · 204 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Artificial neural network #Enzyme Structure and Function #Flexibility (engineering) #Gaussian #Gaussian network model #Machine Learning in Materials Science #Manifold (fluid mechanics) #Mixture model #Range (aeronautics) #Representation (politics) #Sampling (signal processing) #Visualization #cs.LG #q-bio.BM
50. Particle Swarm Based Hyper-Parameter Optimization for Machine Learned\n Interatomic Potentials
    2020/12/31 by Suresh Kondati Natarajan, Natarajan, Suresh Kondati, Miguel A. Caro +1 · 5 citations
    Chemistry · Computer Science · Materials Science · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Chemistry #Computational Drug Discovery Methods #Computational chemistry #Computer science #Crystallography and molecular interactions #Energy minimization #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian #Gaussian process #Invariant (physics) #Kriging #Machine Learning (cs.LG) #Machine Learning in Materials Science #Machine learning #Materials Science (cond-mat.mtrl-sci) #Mathematics #Particle swarm optimization #Test set #cond-mat.mtrl-sci #cs.LG
51. Structured learning of rigid-body dynamics: A survey and unified view\n from a robotics perspective
    2020/12/11 by A. René Geist, Geist, A. René, Sebastian Trimpe +1 · 4 citations
    Computer Science · Engineering · #A.1 #Artificial intelligence #Computer science #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian #Gaussian Processes and Bayesian Inference #Gaussian process #I.2.6 #I.2.9 #J.2 #Kriging #Machine Learning (cs.LG) #Machine learning #Rigid body #Rigid body dynamics #Robotics (cs.RO) #cs.LG #cs.RO
52. Towards Domain-Agnostic Contrastive Learning
    2020/11/09 by Vikas Verma, Verma, Vikas, Minh-Thang Luong +7 · 9 citations
    Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Domain (mathematical analysis) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian #Geophysical Methods and Applications #Image (mathematics) #Key (lock) #Labeled data #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Mathematics #Multimodal Machine Learning Applications #Natural language processing #Noise (video) #Pattern recognition (psychology) #Representation (politics) #cs.AI #cs.LG #stat.ML
53. Solving inverse problems using conditional invertible neural networks
    2020/07/31 by Govinda Anantha Padmanabha, Nicholas Zabaras · 81 citations
    Computer Science · Engineering · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Artificial neural network #Computer science #Conditional probability distribution #Curse of dimensionality #Gaussian #Generative Adversarial Networks and Image Synthesis #Inverse #Inverse problem #Invertible matrix #Lattice Boltzmann Simulation Studies #Machine learning #Mathematical analysis #Mathematical optimization #Mathematics #Model Reduction and Neural Networks #Statistics #Surrogate model #Uncertainty quantification #cs.LG #physics.comp-ph
54. Gaussian Conversion Protocols for Cubic Phase State Generation
    2020/07/31 by Yu Zheng, Oliver Hahn, Pascal Stadler +4 · 32 citations
    Computer Science · Physics and Astronomy · #Algorithm #Computer science #Gaussian #Phase (matter) #Photorefractive and Nonlinear Optics #Physics #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum mechanics #State (computer science) #quant-ph
55. Quantitative normal approximations for the stochastic fractional heat\n equation
    2020/07/29 by Obayda Assaad, David Nualart, Assaad, Obayda +5 · 14 citations
    Economics, Econometrics and Finance · Mathematics · #60F05 #60G15 #60H07 #60H15 #Applied mathematics #Central limit theorem #Covariance #Covariance function #FOS: Mathematics #Financial Risk and Volatility Modeling #Gaussian #Heat equation #Heat kernel #Limit (mathematics) #Mathematical analysis #Mathematics #Nonlinear Partial Differential Equations #Physics #Probability (math.PR) #Statistics #Stochastic processes and financial applications #White noise #math.PR #msc:60F05 #msc:60G15 #msc:60H07 #msc:60H15
56. Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK
    2020/07/09 by Yuanzhi Li, Li, Yuanzhi, Tengyu Ma +3 · 6 citations
    Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Combinatorics #Computer science #Discrete mathematics #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Gaussian #Gradient descent #Initialization #Kernel (algebra) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Mathematical analysis #Mathematics #Omega #Optimization and Control (math.OC) #Physics #Polynomial #Population #Star (game theory) #Stochastic Gradient Optimization Techniques #cs.LG #math.OC #stat.ML
57. Random statistics of OPE coefficients and Euclidean wormholes
    2020/06/30 by Alexandre Belin, Jan de Boer · 182 citations
    Physics and Astronomy · #Ansatz #Black Holes and Theoretical Physics #Conformal map #Cosmology and Gravitation Theories #Gaussian #Mathematical analysis #Mathematical physics #Partition function (quantum field theory) #Physics #Quantum Chromodynamics and Particle Interactions #Quantum mechanics #gr-qc #hep-th
58. Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
    2020/06/29 by Dan Chen, Chen Dan, Dan, Chen +4 · 6 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Econometrics #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematics #Physics #cs.LG #stat.ML
59. Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
    2020/06/01 by Rajarshi Guhaniyogi, Guhaniyogi, Rajarshi, Cheng Li +5 · 6 citations
    Computer Science · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Bayesian Methods and Mixture Models #Bayesian probability #Computation (stat.CO) #Computer science #FOS: Computer and information sciences #Gaussian #Gaussian process #Markov chain Monte Carlo #Mathematical optimization #Mathematics #Methodology (stat.ME) #Monte Carlo method #Posterior probability #Prior probability #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics #stat.CO #stat.ME
60. Global Distance-distributions Separation for Unsupervised Person Re-identification
    2020/06/01 by Xin Jin, Cuiling Lan, Jin, Xin +5 · 7 citations
    Computer Science · Engineering · Mathematics · #Artificial intelligence #Benchmark (surveying) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data mining #Database #Domain adaptation #FOS: Computer and information sciences #Gait Recognition and Analysis #Gaussian #Geography #Human Pose and Action Recognition #Identification (biology) #Leverage (statistics) #Machine learning #Matching (statistics) #Mathematics #Pattern recognition (psychology) #Ranking (information retrieval) #Sample (material) #Scalability #Statistics #Unsupervised learning #Variance (accounting) #Video Surveillance and Tracking Methods #cs.CV

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