SOTAVerified

parameter estimation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1301–1350 of 1719 papers

TitleStatusHype
Online Learning over Dynamic Graphs via Distributed Proximal Gradient Algorithm—0
Learning Clique Forests—0
On the smoothness of nonlinear system identificationCode0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
An Axiomatic Approach to Regularizing Neural Ranking Models—0
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing—0
Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study—0
Parametrization of stochastic inputs using generative adversarial networks with application in geology—0
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT—0
Sparse Tensor Additive Regression—0
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting—0
WRFRFT-based Coherent Detection and Parameter Estimation of Radar Moving Target With Unknown Entry/Departure Time—0
Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo—0
A Novel Method for the Absolute Pose Problem with Pairwise Constraints—0
Finite Sample Analysis of Stochastic System Identification—0
Manifold Mixup improves text recognition with CTC lossCode1
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks—0
Statistically-informed deep learning for gravitational wave parameter estimation—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
Combined State and Parameter Estimation in Level-Set Methods—0
Learning partially ranked data based on graph regularization—0
Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRICode0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
Deep MR Fingerprinting with total-variation and low-rank subspace priors—0
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes—0
Knowledge-aided Two-dimensional Autofocus for Spotlight SAR Filtered Backprojection Imagery—0
A Complexity-Efficient High Resolution Propagation Parameter Estimation Algorithm for Ultra-Wideband Large-Scale Uniform Circular Array—0
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy—0
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models—0
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions—0
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints—0
Orthogonal Statistical LearningCode0
Bayesian surrogate learning in dynamic simulator-based regression problems—0
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks—0
Unified estimation framework for unnormalized models with statistical efficiency—0
A review of domain adaptation without target labelsCode0
Resampling detection of recompressed images via dual-stream convolutional neural networkCode0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategies,Estimation Error Bounds Tighter than the Cramér-Rao Bound)—0
Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for TurbineGovernor and Excitation System—0
Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning ApproachCode0
Computations in Stochastic Acceptors—0
Enhancing Discrete Choice Models with Representation LearningCode1
Linearized Bregman Iterations for Automatic Optical Fiber Fault Analysis—0
Bayesian parameter estimation of miss-specified models—0
Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error—0
Stochastic Image Deformation in Frequency Domain and Parameter Estimation using Moment Evolutions—0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
Theoretical guarantees for EM under misspecified Gaussian mixture models—0
Analyzing Federated Learning through an Adversarial LensCode1
Show:102550
← PrevPage 27 of 35Next →

No leaderboard results yet.