:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Korrapati, Jathin, Baranwal, Tanish, Shah, Rahul
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Information Theory Numerical Analysis Primary 68T07, Secondary 60H10, 94A15, 68Q87
Online Access:	https://arxiv.org/abs/2412.19114
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic Mirror Descent for Convex Optimization with Consensus Constraints
by: Borovykh, Anastasia, et al.
Published: (2022)

Reduced Order Modeling of Partial Differential Equations on Parameter-Dependent Domains Using Deep Neural Networks
by: Bukač, Martina, et al.
Published: (2024)

Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks
by: Adcock, Ben, et al.
Published: (2022)

Dyadic Factorization and Efficient Inversion of Sparse Positive Definite Matrices
by: Kos, Michał, et al.
Published: (2025)

Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for space-time solutions of semilinear partial differential equations
by: Ackermann, Julia, et al.
Published: (2024)

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
by: Ackermann, Julia, et al.
Published: (2023)

Straggler-tolerant stationary methods for linear systems
by: Kalantzis, Vassilis, et al.
Published: (2024)

Large Spikes in Stochastic Gradient Descent: A Large-Deviations View
by: Gess, Benjamin, et al.
Published: (2026)

On the Curvature of the Central Path of Linear Programming Theory
by: Dedieu, Jean-Pierre, et al.
Published: (2003)

Random Walks, Faber Polynomials and Accelerated Power Methods
by: Cowal, Peter, et al.
Published: (2025)

How Does Machine Learning Manage Complexity?
by: Fortnow, Lance
Published: (2026)

Leakage-Resilient Hardness Equivalence to Logspace Derandomization
by: Shalunov, Yakov
Published: (2023)

Solving High-dimensional Parametric Elliptic Equation Using Tensor Neural Network
by: Chen, Hongtao, et al.
Published: (2024)

Data-driven computation for periodic stochastic differential equations
by: Li, Yao, et al.
Published: (2025)

The Breakdown of Gaussian Universality in Classification of High-dimensional Linear Factor Mixtures
by: Mai, Xiaoyi, et al.
Published: (2024)

Private Evolution Converges
by: González, Tomás, et al.
Published: (2025)

The Generalized Matrix Norm Problem
by: Kulmburg, Adrian
Published: (2023)

On the algorithmic construction of deep ReLU networks
by: Huybrechs, Daan
Published: (2025)

FieldTNN-based machine learning method for Maxwell eigenvalue problems
by: Jiang, Jiantao, et al.
Published: (2024)

Analysis of multivariate symbol statistics in primitive rational models
by: Goldwurm, Massimiliano, et al.
Published: (2026)

Robust error estimates of PINN in one-dimensional boundary value problems for linear elliptic equations
by: Yoo, Jihahm, et al.
Published: (2024)

The Theorems of Dr. David Blackwell and Their Contributions to Artificial Intelligence
by: Paxton, Napoleon
Published: (2026)

Score-based deterministic density sampling
by: Ilin, Vasily, et al.
Published: (2025)

BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
by: Hu, Tianzheng, et al.
Published: (2025)

Software demodulation of weak radio signals using convolutional neural network
by: Kozlenko, Mykola, et al.
Published: (2025)

First-passage time for PDifMPs: an Exact simulation approach for time-varying thresholds
by: Desmettre, Sascha, et al.
Published: (2025)

Score-based constrained generative modeling via Langevin diffusions with boundary conditions
by: Nordenhög, Adam, et al.
Published: (2025)

A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
by: Khaled, Berkani, et al.
Published: (2025)

Limit theorems for fixed point biased permutations avoiding a pattern of length three
by: Chelikavada, Aksheytha, et al.
Published: (2023)

Neural Manifolds as Crystallized Embeddings: A Synthesis of the Free Energy Principle, Generalized Synchronization, and Hebbian Plasticity
by: O'Reilly-Shah, Vikas N.
Published: (2026)

Algorithmic Contiguity from Low-Degree Heuristic II: Predicting Detection-Recovery Gaps
by: Li, Zhangsong
Published: (2026)

Private Vertical Federated Inference for Time-Series
by: Fenaux, Lucas, et al.
Published: (2026)

Adaptive Greedy Rejection Sampling
by: Flamich, Gergely, et al.
Published: (2023)

Asymptotic stability properties and a priori bounds for Adam and other gradient descent optimization methods
by: Dereich, Steffen, et al.
Published: (2025)

Critical probabilities for positively associated, finite-range dependent percolation models
by: Köhler-Schindler, Laurin, et al.
Published: (2024)

Neural Networks-based Random Vortex Methods for Modelling Incompressible Flows
by: Cherepanov, Vladislav, et al.
Published: (2024)

Lindbladian Homotopy Analysis Method to Solve Nonlinear Partial Differential Equations
by: Choi, Eunsik, et al.
Published: (2026)

Error bounds for Physics Informed Neural Networks in Nonlinear Schrödinger equations placed on unbounded domains
by: Alejo, Miguel Á., et al.
Published: (2024)

The random $k$-SAT Gibbs uniqueness threshold revisited
by: Chatterjee, Arnab, et al.
Published: (2025)

Sparse Pseudospectral Shattering
by: Shah, Rikhav, et al.
Published: (2024)