Saved in:
| Main Authors: | Stevenson, Shane, Sabagh, Maryam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.11550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
by: Ashrafi, Negin, et al.
Published: (2024)
by: Ashrafi, Negin, et al.
Published: (2024)
Compressed Sensing: A Discrete Optimization Approach
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods
by: Shen, Zhaiming, et al.
Published: (2025)
by: Shen, Zhaiming, et al.
Published: (2025)
Mathematical Foundations of Deep Learning
by: Ye, Xiaojing
Published: (2026)
by: Ye, Xiaojing
Published: (2026)
DDIM Redux: Mathematical Foundation and Some Extension
by: Han, Manhyung
Published: (2024)
by: Han, Manhyung
Published: (2024)
Advanced technology in railway track monitoring using the GPR Technique: A Review
by: Kooban, Farhad, et al.
Published: (2025)
by: Kooban, Farhad, et al.
Published: (2025)
Mathematical Foundations of Geometric Deep Learning
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
by: Borde, Haitz Sáez de Ocáriz, et al.
Published: (2025)
Efficient Model Compression Techniques with FishLeg
by: McGowan, Jamie, et al.
Published: (2024)
by: McGowan, Jamie, et al.
Published: (2024)
Robustness Test for AI Forecasting of Hurricane Florence Using FourCastNetv2 and Random Perturbations of the Initial Condition
by: Lizerbram, Adam, et al.
Published: (2025)
by: Lizerbram, Adam, et al.
Published: (2025)
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
by: Ravula, Sriram, et al.
Published: (2023)
by: Ravula, Sriram, et al.
Published: (2023)
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
by: Ashrafi, Negin, et al.
Published: (2024)
by: Ashrafi, Negin, et al.
Published: (2024)
A Data-Driven Review of Remote Sensing-Based Data Fusion in Precision Agriculture from Foundational to Transformer-Based Techniques
by: Saki, Mahdi, et al.
Published: (2024)
by: Saki, Mahdi, et al.
Published: (2024)
End-to-End Compression for Tabular Foundation Models
by: Zabërgja, Guri, et al.
Published: (2026)
by: Zabërgja, Guri, et al.
Published: (2026)
Verified Neural Compressed Sensing
by: Bunel, Rudy, et al.
Published: (2024)
by: Bunel, Rudy, et al.
Published: (2024)
Mathematical Foundation of Interpretable Equivariant Surrogate Models
by: Colombini, Jacopo Joy, et al.
Published: (2025)
by: Colombini, Jacopo Joy, et al.
Published: (2025)
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
by: Girija, Sanjay Surendranath, et al.
Published: (2025)
Tight Compression: Compressing CNN Through Fine-Grained Pruning and Weight Permutation for Efficient Implementation
by: Chen, Xizi, et al.
Published: (2021)
by: Chen, Xizi, et al.
Published: (2021)
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
by: Qiu, Ruizhong, et al.
Published: (2024)
by: Qiu, Ruizhong, et al.
Published: (2024)
Research and Implementation of Data Enhancement Techniques for Graph Neural Networks
by: Gu, Jingzhao, et al.
Published: (2024)
by: Gu, Jingzhao, et al.
Published: (2024)
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Learning Structured Compressed Sensing with Automatic Resource Allocation
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
Optimizing Fire Safety: Reducing False Alarms Using Advanced Machine Learning Techniques
by: Jamal, Muhammad Hassan, et al.
Published: (2025)
by: Jamal, Muhammad Hassan, et al.
Published: (2025)
Lossless and Near-Lossless Compression for Foundation Models
by: Hershcovitch, Moshik, et al.
Published: (2024)
by: Hershcovitch, Moshik, et al.
Published: (2024)
An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems
by: Hao, Yuren, et al.
Published: (2025)
by: Hao, Yuren, et al.
Published: (2025)
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
by: Chen, Tianhua
Published: (2026)
by: Chen, Tianhua
Published: (2026)
Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search
by: Agrawal, Kushagra, et al.
Published: (2025)
by: Agrawal, Kushagra, et al.
Published: (2025)
Dual Approximation Policy Optimization
by: Xiong, Zhihan, et al.
Published: (2024)
by: Xiong, Zhihan, et al.
Published: (2024)
Autoformulation of Mathematical Optimization Models Using LLMs
by: Astorga, Nicolás, et al.
Published: (2024)
by: Astorga, Nicolás, et al.
Published: (2024)
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference
by: Liskavets, Barys, et al.
Published: (2024)
by: Liskavets, Barys, et al.
Published: (2024)
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
by: Abdollahi, Armin, et al.
Published: (2024)
by: Abdollahi, Armin, et al.
Published: (2024)
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems
by: Morlier, Jeremy, et al.
Published: (2025)
by: Morlier, Jeremy, et al.
Published: (2025)
Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging
by: Peng, Xinyu, et al.
Published: (2026)
by: Peng, Xinyu, et al.
Published: (2026)
Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques
by: Singh, Shruti, et al.
Published: (2024)
by: Singh, Shruti, et al.
Published: (2024)
Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions
by: Sato, Atsuki, et al.
Published: (2026)
by: Sato, Atsuki, et al.
Published: (2026)
Sparse Bayesian Generative Modeling for Compressive Sensing
by: Böck, Benedikt, et al.
Published: (2024)
by: Böck, Benedikt, et al.
Published: (2024)
Mathematical Formalism for Memory Compression in Selective State Space Models
by: Bhat, Siddhanth
Published: (2024)
by: Bhat, Siddhanth
Published: (2024)
Coherent Local Explanations for Mathematical Optimization
by: Otto, Daan, et al.
Published: (2025)
by: Otto, Daan, et al.
Published: (2025)
One-bit Compressed Sensing using Generative Models
by: Kafle, Swatantra, et al.
Published: (2025)
by: Kafle, Swatantra, et al.
Published: (2025)
A Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems
by: Dickens, Charles, et al.
Published: (2024)
by: Dickens, Charles, et al.
Published: (2024)
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
by: Lee, JunKyu, et al.
Published: (2021)
by: Lee, JunKyu, et al.
Published: (2021)
Similar Items
-
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
by: Ashrafi, Negin, et al.
Published: (2024) -
Compressed Sensing: A Discrete Optimization Approach
by: Bertsimas, Dimitris, et al.
Published: (2023) -
Advancing Local Clustering on Graphs via Compressive Sensing: Semi-supervised and Unsupervised Methods
by: Shen, Zhaiming, et al.
Published: (2025) -
Mathematical Foundations of Deep Learning
by: Ye, Xiaojing
Published: (2026) -
DDIM Redux: Mathematical Foundation and Some Extension
by: Han, Manhyung
Published: (2024)