Saved in:
| Main Authors: | Metakalard, Abdelkader, Lauer, Fabien, Colin, Kevin, Gilson, Marion |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.15586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PITA: Physics-Informed Trajectory Autoencoder
by: Fischer, Johannes, et al.
Published: (2024)
by: Fischer, Johannes, et al.
Published: (2024)
Variational quantization for state space models
by: David, Etienne, et al.
Published: (2024)
by: David, Etienne, et al.
Published: (2024)
Uniform convergence of the smooth calibration error and its relationship with functional gradient
by: Futami, Futoshi, et al.
Published: (2025)
by: Futami, Futoshi, et al.
Published: (2025)
A probabilistic framework for dynamic quantization
by: Santini, Gabriele, et al.
Published: (2025)
by: Santini, Gabriele, et al.
Published: (2025)
Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization
by: Boss, Mark, et al.
Published: (2026)
by: Boss, Mark, et al.
Published: (2026)
On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise
by: Teutsch, Johannes, et al.
Published: (2026)
by: Teutsch, Johannes, et al.
Published: (2026)
Decomposing MXFP4 quantization error for LLM reinforcement learning: reducible bias, recoverable deadzone, and an irreducible floor
by: Li, Xiaocan, et al.
Published: (2026)
by: Li, Xiaocan, et al.
Published: (2026)
Exploring Large Language Models for Financial Applications: Techniques, Performance, and Challenges with FinMA
by: Djagba, Prudence, et al.
Published: (2025)
by: Djagba, Prudence, et al.
Published: (2025)
Residual vector quantization for KV cache compression in large language model
by: Kumar, Ankur
Published: (2024)
by: Kumar, Ankur
Published: (2024)
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
by: Bruno, Stefano, et al.
Published: (2023)
by: Bruno, Stefano, et al.
Published: (2023)
Sharp error bounds for imbalanced classification: how many examples in the minority class?
by: Aghbalou, Anass, et al.
Published: (2023)
by: Aghbalou, Anass, et al.
Published: (2023)
Exact and approximate error bounds for physics-informed neural networks
by: Chantada, Augusto T., et al.
Published: (2024)
by: Chantada, Augusto T., et al.
Published: (2024)
Gradient-based filtering under misspecification: Stability and error bounds
by: van Heel, Simon Donker, et al.
Published: (2025)
by: van Heel, Simon Donker, et al.
Published: (2025)
Data-driven stochastic reduced-order modeling of parametrized dynamical systems
by: Ilersich, Andrew F., et al.
Published: (2026)
by: Ilersich, Andrew F., et al.
Published: (2026)
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations
by: Lauer, Casey, et al.
Published: (2024)
by: Lauer, Casey, et al.
Published: (2024)
Generalization error bound for denoising score matching under relaxed manifold assumption
by: Yakovlev, Konstantin, et al.
Published: (2025)
by: Yakovlev, Konstantin, et al.
Published: (2025)
Entrywise error bounds for low-rank approximations of kernel matrices
by: Modell, Alexander
Published: (2024)
by: Modell, Alexander
Published: (2024)
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
by: Alba, Eduardo Luiz, et al.
Published: (2024)
by: Alba, Eduardo Luiz, et al.
Published: (2024)
Certified machine learning: Rigorous a posteriori error bounds for PDE defined PINNs
by: Hillebrecht, Birgit, et al.
Published: (2022)
by: Hillebrecht, Birgit, et al.
Published: (2022)
Non-asymptotic error bounds for probability flow ODEs under weak log-concavity
by: Kremling, Gitte, et al.
Published: (2025)
by: Kremling, Gitte, et al.
Published: (2025)
HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks
by: Tchenko, Yanick Chistian, et al.
Published: (2025)
by: Tchenko, Yanick Chistian, et al.
Published: (2025)
Aggregating empirical evidence from data strategy studies: a case on model quantization
by: del Rey, Santiago, et al.
Published: (2025)
by: del Rey, Santiago, et al.
Published: (2025)
Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)
by: Noskov, Fedor, et al.
Published: (2025)
Do Unlearning Methods Remove Information from Language Model Weights?
by: Deeb, Aghyad, et al.
Published: (2024)
by: Deeb, Aghyad, et al.
Published: (2024)
Uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method
by: Dereich, Steffen, et al.
Published: (2026)
by: Dereich, Steffen, et al.
Published: (2026)
Technical report: Improving the properties of molecules generated by LIMO
by: Thumuluri, Vineet, et al.
Published: (2024)
by: Thumuluri, Vineet, et al.
Published: (2024)
Evolutionary fine tuning of quantized convolution-based deep learning models
by: Pietroń, Marcin
Published: (2026)
by: Pietroń, Marcin
Published: (2026)
Individualized non-uniform quantization for vector search
by: Tepper, Mariano, et al.
Published: (2025)
by: Tepper, Mariano, et al.
Published: (2025)
Understanding diffusion models requires rethinking (again) generalization
by: Marion, Pierre, et al.
Published: (2026)
by: Marion, Pierre, et al.
Published: (2026)
TPTT: Transforming Pretrained Transformers into Titans
by: Furfaro, Fabien
Published: (2025)
by: Furfaro, Fabien
Published: (2025)
Real-Time Anomaly Detection in Video Streams
by: Poirier, Fabien
Published: (2024)
by: Poirier, Fabien
Published: (2024)
An empirical study of LLaMA3 quantization: from LLMs to MLLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
A probabilistic view on Riemannian machine learning models for SPD matrices
by: de Surrel, Thibault, et al.
Published: (2025)
by: de Surrel, Thibault, et al.
Published: (2025)
Discrete transforms of quantized persistence diagrams
by: Van Huffel, Michael Etienne, et al.
Published: (2023)
by: Van Huffel, Michael Etienne, et al.
Published: (2023)
Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables
by: Zou, Joanna, et al.
Published: (2026)
by: Zou, Joanna, et al.
Published: (2026)
Uniform-in-time convergence bounds for Persistent Contrastive Divergence Algorithms
by: Oliva, Paul Felix Valsecchi, et al.
Published: (2025)
by: Oliva, Paul Felix Valsecchi, et al.
Published: (2025)
Generalization error bounds for two-layer neural networks with Lipschitz loss function
by: Nguwi, Jiang Yu, et al.
Published: (2026)
by: Nguwi, Jiang Yu, et al.
Published: (2026)
Identifying Sensitive Weights via Post-quantization Integral
by: Hu, Yuezhou, et al.
Published: (2025)
by: Hu, Yuezhou, et al.
Published: (2025)
Non-asymptotic convergence bound of conditional diffusion models
by: Li, Mengze
Published: (2025)
by: Li, Mengze
Published: (2025)
Similar Items
-
PITA: Physics-Informed Trajectory Autoencoder
by: Fischer, Johannes, et al.
Published: (2024) -
Variational quantization for state space models
by: David, Etienne, et al.
Published: (2024) -
Uniform convergence of the smooth calibration error and its relationship with functional gradient
by: Futami, Futoshi, et al.
Published: (2025) -
A probabilistic framework for dynamic quantization
by: Santini, Gabriele, et al.
Published: (2025) -
Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024)