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TitleStatusHype
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient—0
Stochastic MPC for Finite Gaussian Mixture Disturbances with Guarantees—0
Deep Learning Based Residuals in Non-linear Factor Models: Precision Matrix Estimation of Returns with Low Signal-to-Noise Ratio—0
A Validation Tool for Designing Reinforcement Learning Environments—0
Deep Network Approximation for Smooth Functions—0
Stochastic natural gradient descent draws posterior samples in function space—0
Deep Neural Network Capacity—0
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting—0
Deep neural network solution of the electronic Schrödinger equation—0
Variational autoencoders understand knot topology—0
DeepPERF: A Deep Learning-Based Approach For Improving Software Performance—0
Deep Polarimetric HDR Reconstruction—0
Deep Reinforcement Learning-aided Transmission Design for Energy-efficient Link Optimization in Vehicular Communications—0
Deep Reinforcement Learning-Based Product Recommender for Online Advertising—0
Deep reinforcement learning for guidewire navigation in coronary artery phantom—0
Deep Reinforcement Learning with Discrete Normalized Advantage Functions for Resource Management in Network Slicing—0
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists—0
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection—0
Auto-Regressive Surface Cutting—0
Deep Sparse Subspace Clustering—0
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees—0
Deep Weisfeiler-Lehman Assignment Kernels via Multiple Kernel Learning—0
Defeaters and Eliminative Argumentation in Assurance 2.0—0
Defect Detection Techniques for Airbag Production Sewing Stages—0
Variational Barycentric Coordinates—0
Defining and Measuring Disentanglement for non-Independent Factors of Variation—0
Defining the Pose of any 3D Rigid Object and an Associated Distance—0
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments—0
Degradation Attacks on Certifiably Robust Neural Networks—0
Degraded Reference Image Quality Assessment—0
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
Demistifying Inference after Adaptive Experiments—0
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case—0
Demo Application for LETO: Learning Engine Through Ontologies—0
De Novo Molecular Generation with Stacked Adversarial Model—0
Dense Dual-Attention Network for Light Field Image Super-Resolution—0
Dense Hebbian neural networks: a replica symmetric picture of unsupervised learning—0
Dense Hebbian neural networks: a replica symmetric picture of supervised learning—0
Density-Calibrated Conformal Quantile Regression—0
Design-based individual prediction—0
Design-Based Multi-Way Clustering—0
Design-Based Uncertainty for Quasi-Experiments—0
Designing LLM-Agents with Personalities: A Psychometric Approach—0
Designing Style Matching Conversational Agents—0
Designing Universal Causal Deep Learning Models: The Case of Infinite-Dimensional Dynamical Systems from Stochastic Analysis—0
Word Segmentation in Sanskrit Using Path Constrained Random Walks—0
Design-unbiased statistical learning in survey sampling—0
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion—0
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation—0
Detecting Events in Crowds Through Changes in Geometrical Dimensions of Pedestrians—0
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