Saved in:
| Main Authors: | Xie, Xinheng, Yamaguchi, Kureha, Leblanc, Margaux, Malzard, Simon, Chhabra, Varun, Nockles, Victoria, Wu, Yue |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.04982 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
by: Richings, Jack, et al.
Published: (2025)
by: Richings, Jack, et al.
Published: (2025)
On sampling diluted Spin-Glasses with unbounded interactions
by: Efthymiou, Charilaos, et al.
Published: (2026)
by: Efthymiou, Charilaos, et al.
Published: (2026)
Infinite-Dimensional Diffusion Models
by: Pidstrigach, Jakiw, et al.
Published: (2023)
by: Pidstrigach, Jakiw, et al.
Published: (2023)
Extending choice assessments to choice functions: An algorithm for computing the natural extension
by: Decadt, Arne, et al.
Published: (2024)
by: Decadt, Arne, et al.
Published: (2024)
Generating DDPM-based Samples from Tilted Distributions
by: Mandal, Himadri, et al.
Published: (2026)
by: Mandal, Himadri, et al.
Published: (2026)
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
by: Cooley, Madison, et al.
Published: (2024)
by: Cooley, Madison, et al.
Published: (2024)
Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat
by: Brešar, Miha, et al.
Published: (2024)
by: Brešar, Miha, et al.
Published: (2024)
On the number and size of Markov equivalence classes of random directed acyclic graphs
by: Schmid, Dominik, et al.
Published: (2022)
by: Schmid, Dominik, et al.
Published: (2022)
Optimal Transport for $ε$-Contaminated Credal Sets: To the Memory of Sayan Mukherjee
by: Caprio, Michele
Published: (2024)
by: Caprio, Michele
Published: (2024)
Gradient Span Algorithms Make Predictable Progress in High Dimension
by: Benning, Felix, et al.
Published: (2024)
by: Benning, Felix, et al.
Published: (2024)
Generative Modelling of Lévy Area for High Order SDE Simulation
by: Jelinčič, Andraž, et al.
Published: (2023)
by: Jelinčič, Andraž, et al.
Published: (2023)
Lambda-Fleming-Viot processes arising in logistic Bienaymé-Galton-Watson processes with a large carrying capacity
by: Forien, Raphaël
Published: (2025)
by: Forien, Raphaël
Published: (2025)
Local categories: a new framework for partiality
by: Lanfranchi, Marcello, et al.
Published: (2025)
by: Lanfranchi, Marcello, et al.
Published: (2025)
Ensembled Direct Multi-Step forecasting methodology with comparison on macroeconomic and financial data
by: Łapiński, Tomasz M., et al.
Published: (2025)
by: Łapiński, Tomasz M., et al.
Published: (2025)
Generative Models with ELBOs Converging to Entropy Sums
by: Warnken, Jan, et al.
Published: (2024)
by: Warnken, Jan, et al.
Published: (2024)
Euler-type approximation for the invariant measure: An abstract framework
by: Alfonsi, Aurélien, et al.
Published: (2025)
by: Alfonsi, Aurélien, et al.
Published: (2025)
S$^2$GPT-PINNs: Sparse and Small models for PDEs
by: Ji, Yajie, et al.
Published: (2025)
by: Ji, Yajie, et al.
Published: (2025)
Discretization of non-uniform rational B-spline (NURBS) models for meshless isogeometric analysis
by: Duh, Urban, et al.
Published: (2023)
by: Duh, Urban, et al.
Published: (2023)
Detecting random bifurcations via rigorous enclosures of large deviations rate functions
by: Blessing, Alexandra, et al.
Published: (2024)
by: Blessing, Alexandra, et al.
Published: (2024)
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
by: Lee, Hoil, et al.
Published: (2022)
by: Lee, Hoil, et al.
Published: (2022)
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
by: Canastra, Catarina, et al.
Published: (2025)
by: Canastra, Catarina, et al.
Published: (2025)
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
A Formal Analysis of Iterated TDD
by: Ruparel, Hemil, et al.
Published: (2024)
by: Ruparel, Hemil, et al.
Published: (2024)
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
by: Mühlenstädt, Thomas, et al.
Published: (2024)
by: Mühlenstädt, Thomas, et al.
Published: (2024)
$H$-percolation with a random $H$
by: Bartha, Zsolt, et al.
Published: (2023)
by: Bartha, Zsolt, et al.
Published: (2023)
Stochastic approach for elliptic problems in perforated domains
by: Han, Jihun, et al.
Published: (2024)
by: Han, Jihun, et al.
Published: (2024)
Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)
by: Xie, Jiahao, et al.
Published: (2025)
On the Convergence of the ELBO to Entropy Sums
by: Lücke, Jörg, et al.
Published: (2022)
by: Lücke, Jörg, et al.
Published: (2022)
Learning the symmetric group: large from small
by: Petschack, Max, et al.
Published: (2025)
by: Petschack, Max, et al.
Published: (2025)
Denoising Gradient Descent in Variational Quantum Algorithms
by: Simon, Lars, et al.
Published: (2024)
by: Simon, Lars, et al.
Published: (2024)
Interpolating Parametrized Quantum Circuits using Blackbox Queries
by: Simon, Lars, et al.
Published: (2023)
by: Simon, Lars, et al.
Published: (2023)
When can forward stable algorithms be composed stably?
by: Beltrán, Carlos, et al.
Published: (2021)
by: Beltrán, Carlos, et al.
Published: (2021)
PatternBoost: Constructions in Mathematics with a Little Help from AI
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Faster and shorter synthesis of Hamiltonian simulation circuits
by: de Brugière, Timothée Goubault, et al.
Published: (2024)
by: de Brugière, Timothée Goubault, et al.
Published: (2024)
The degree-restricted random process is far from uniform
by: Molloy, Michael, et al.
Published: (2022)
by: Molloy, Michael, et al.
Published: (2022)
Learning the random variables in Monte Carlo simulations with stochastic gradient descent: Machine learning for parametric PDEs and financial derivative pricing
by: Becker, Sebastian, et al.
Published: (2022)
by: Becker, Sebastian, et al.
Published: (2022)
The discrete analogue of the Gaussian
by: Chinta, Gautam, et al.
Published: (2024)
by: Chinta, Gautam, et al.
Published: (2024)
ARDO: A Weak Formulation Deep Neural Network Method for Elliptic and Parabolic PDEs Based on Random Differences of Test Functions
by: Cai, Wei, et al.
Published: (2025)
by: Cai, Wei, et al.
Published: (2025)
The Future of Combating Rumors? Retrieval, Discrimination, and Generation
by: Xu, Junhao, et al.
Published: (2024)
by: Xu, Junhao, et al.
Published: (2024)
Towards the LLM-Based Generation of Formal Specifications from Natural-Language Contracts: Early Experiments with Symboleo
by: Zitouni, Mounira Nihad, et al.
Published: (2024)
by: Zitouni, Mounira Nihad, et al.
Published: (2024)
Similar Items
-
Performance Decay in Deepfake Detection: The Limitations of Training on Outdated Data
by: Richings, Jack, et al.
Published: (2025) -
On sampling diluted Spin-Glasses with unbounded interactions
by: Efthymiou, Charilaos, et al.
Published: (2026) -
Infinite-Dimensional Diffusion Models
by: Pidstrigach, Jakiw, et al.
Published: (2023) -
Extending choice assessments to choice functions: An algorithm for computing the natural extension
by: Decadt, Arne, et al.
Published: (2024) -
Generating DDPM-based Samples from Tilted Distributions
by: Mandal, Himadri, et al.
Published: (2026)