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Neural Networks

11,300 papers

Papers per year

Papers

Automatic Segmentation of Aortic and Mitral Valves for Heart Surgical Planning of Hypertrophic Obstructive Cardiomyopathy ACML 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023
Origins of Low-Dimensional Adversarial Perturbations AISTATS 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines AISTATS 2023
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks AISTATS 2023
BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices AISTATS 2023
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation AISTATS 2023
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks AISTATS 2023
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023
Deep Neural Networks with Efficient Guaranteed Invariances AISTATS 2023
Singular Value Representation: A New Graph Perspective On Neural Networks AISTATS 2023
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks AISTATS 2023
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models AISTATS 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023
Learning with Partial Forgetting in Modern Hopfield Networks AISTATS 2023
Structure of Nonlinear Node Embeddings in Stochastic Block Models AISTATS 2023
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters AISTATS 2023
Loss-Curvature Matching for Dataset Selection and Condensation AISTATS 2023
Convolutional Persistence as a Remedy to Neural Model Analysis AISTATS 2023