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68t07-secondary
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68t07-secondary
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· documents ABOUT 68t07-secondary across the archive
14
Documents about 68t07-secondary
Documents about 68t07-secondary
Neuro-Causal Factor Analysis
#663928
arXiv (OAI Expanded)
Neuro-Causal Factor Analysis
#665428
arXiv (All)
Autoencoders in Function Space
#799823
arXiv (All)
Selective boundary condition reduction via learned error gating
#985814
arXiv (All)
Dead Directions: Geometric Singular Learning
#996911
arXiv (All)
Layerwise Decoupling for Stable Structured Sparsification of Fully Connected Layers
#1035095
arXiv (All)
Grassmann--Plücker Parametrization of Convolutional Filter Subspaces: Regularity and Closed Embeddings
#926287
arXiv (All)
Asymptotically-informed neural networks for Black-Scholes implied volatility computation
#972553
arXiv (All)
Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
#789128
arXiv (OAI Expanded)
Differentiating Minimal-Norm Solutions to Parametric Optimization Problems
#793132
arXiv (All)
Yang-Mills-Higgs: A Geometric Theory of Binary Labels on Non-Contractible Spaces
#926104
arXiv (All)
PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification
#616166
arXiv (OAI Expanded)
PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification
#616666
arXiv (All)
C3VDReg: A Benchmark for Local-to-Local Colonoscopic Registration toward Anatomical Localization
#668352
arXiv (OAI Expanded)
C3VDReg: A Benchmark for Local-to-Local Colonoscopic Registration toward Anatomical Localization
#670417
arXiv (All)
JVLGS: Joint Vision-Language Gas Leak Segmentation
#797222
arXiv (OAI Expanded)
JVLGS: Joint Vision-Language Gas Leak Segmentation
#798635
arXiv (All)
Approximation of the Basset force in the Maxey-Riley-Gatignol equations via universal differential equations
#1012181
arXiv (All)
From Zipf's Law to Neural Scaling through Heaps' Law and Hilberg's Hypothesis
#984951
arXiv (All)
Exact ReLU realization of binary affine refinement iterates via reflection folding and cone switching
#999946
arXiv (All)
A Tensor Neural Network Method for High-Order Homogenization of Locally Periodic Elliptic Problems
#789976
arXiv (OAI Expanded)
A Tensor Neural Network Method for High-Order Homogenization of Locally Periodic Elliptic Problems
#793995
arXiv (All)
Residual neural networks overcome the curse of dimensionality for semilinear heat equations
#926528
arXiv (All)
The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence
#789559
arXiv (OAI Expanded)
The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence
#793563
arXiv (All)
The Internal Anatomy of Strategic Choice in Large Language Models
#1012330
arXiv (All)
Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy
#779728
arXiv (OAI Expanded)
Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy
#781103
arXiv (All)
Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches
#973083
arXiv (All)
A Survey on Vision-Language-Action Models for Embodied AI
#189041
arXiv
A Survey on Vision-Language-Action Models for Embodied AI
#189091
arXiv Biology
A Survey on Vision-Language-Action Models for Embodied AI
#189141
arXiv (OAI Expanded)
A Survey on Vision-Language-Action Models for Embodied AI
#189191
arXiv (OAI)
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense
#179046
arXiv (OAI)
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense
#179244
arXiv (OAI Expanded)
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense
#179639
arXiv
Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense
#180501
arXiv Biology
End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning
#155606
arXiv (OAI)
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering
#131347
arXiv (OAI)
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