Saved in:
| Main Authors: | Temiz, Murat, Bakken, Vemund |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.10713 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)
by: Akpinar, Emine, et al.
Published: (2024)
Application-Driven Innovation in Machine Learning
by: Rolnick, David, et al.
Published: (2024)
by: Rolnick, David, et al.
Published: (2024)
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
by: Yu, Seungmin, et al.
Published: (2024)
by: Yu, Seungmin, et al.
Published: (2024)
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs
by: Jin, Haolin, et al.
Published: (2025)
by: Jin, Haolin, et al.
Published: (2025)
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
by: Blakely, Christian D.
Published: (2024)
by: Blakely, Christian D.
Published: (2024)
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms
by: Chen, Zhiyan, et al.
Published: (2021)
by: Chen, Zhiyan, et al.
Published: (2021)
Vertical Federated Learning for Failure-Cause Identification in Disaggregated Microwave Networks
by: Temiz, Fatih, et al.
Published: (2025)
by: Temiz, Fatih, et al.
Published: (2025)
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research
by: Lan, Tian, et al.
Published: (2024)
by: Lan, Tian, et al.
Published: (2024)
Attention is All You Need Until You Need Retention
by: Yaslioglu, M. Murat
Published: (2025)
by: Yaslioglu, M. Murat
Published: (2025)
Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs
by: Georganas, Evangelos, et al.
Published: (2025)
by: Georganas, Evangelos, et al.
Published: (2025)
Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)
by: Sonmez, Yasin, et al.
Published: (2025)
Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beams
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2024)
Characterizing and Understanding HGNN Training on GPUs
by: Han, Dengke, et al.
Published: (2024)
by: Han, Dengke, et al.
Published: (2024)
Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs
by: Abillama, Pierre, et al.
Published: (2025)
by: Abillama, Pierre, et al.
Published: (2025)
SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs
by: Song, Jaewoo, et al.
Published: (2025)
by: Song, Jaewoo, et al.
Published: (2025)
Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs
by: Zhang, Wuyue, et al.
Published: (2026)
by: Zhang, Wuyue, et al.
Published: (2026)
Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions
by: Katharria, Aashu, et al.
Published: (2024)
by: Katharria, Aashu, et al.
Published: (2024)
Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs
by: Zhao, Kang, et al.
Published: (2024)
by: Zhao, Kang, et al.
Published: (2024)
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
by: Yin, Junjie, et al.
Published: (2023)
by: Yin, Junjie, et al.
Published: (2023)
Smart Grid: A Survey of Architectural Elements, Machine Learning and Deep Learning Applications and Future Directions
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
by: Thilakarathne, Navod Neranjan, et al.
Published: (2020)
Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review
by: Peng, Johnny, et al.
Published: (2025)
by: Peng, Johnny, et al.
Published: (2025)
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
by: Zhou, Yifan, et al.
Published: (2023)
by: Zhou, Yifan, et al.
Published: (2023)
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
by: Mansur, Murat Furkan, et al.
Published: (2026)
by: Mansur, Murat Furkan, et al.
Published: (2026)
Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs
by: Yadav, Divakar Kumar, et al.
Published: (2026)
by: Yadav, Divakar Kumar, et al.
Published: (2026)
Military Applications of Machine Learning: A Bibliometric Perspective
by: Galán, José Javier, et al.
Published: (2024)
by: Galán, José Javier, et al.
Published: (2024)
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations
by: Ahmed, Abdulaziz, et al.
Published: (2022)
by: Ahmed, Abdulaziz, et al.
Published: (2022)
Accelerating AI Performance using Anderson Extrapolation on GPUs
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
by: Dajani, Saleem Abdul Fattah Ahmed Al, et al.
Published: (2024)
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
by: Pham, Nga, et al.
Published: (2024)
by: Pham, Nga, et al.
Published: (2024)
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs
by: Ye, Zhengmao, et al.
Published: (2023)
by: Ye, Zhengmao, et al.
Published: (2023)
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
by: Mousavi-Hosseini, Alireza, et al.
Published: (2026)
by: Mousavi-Hosseini, Alireza, et al.
Published: (2026)
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
by: Mencattini, Tommaso, et al.
Published: (2025)
by: Mencattini, Tommaso, et al.
Published: (2025)
An Open-Access Benchmark of Statistical and Machine-Learning Anomaly Detection Methods for Battery Applications
by: Pang, Mei-Chin, et al.
Published: (2025)
by: Pang, Mei-Chin, et al.
Published: (2025)
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
by: Rahman, Md Musfiqur, et al.
Published: (2024)
by: Rahman, Md Musfiqur, et al.
Published: (2024)
Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
by: Zare, Nader, et al.
Published: (2024)
by: Zare, Nader, et al.
Published: (2024)
Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS
by: Cichocki, Andrzej
Published: (2025)
by: Cichocki, Andrzej
Published: (2025)
MelNet: A Real-Time Deep Learning Algorithm for Object Detection
by: Azadvatan, Yashar, et al.
Published: (2024)
by: Azadvatan, Yashar, et al.
Published: (2024)
Efficient Training on Multiple Consumer GPUs with RoundPipe
by: Luo, Yibin, et al.
Published: (2026)
by: Luo, Yibin, et al.
Published: (2026)
Digital Over-the-Air Federated Learning in Multi-Antenna Systems
by: Wang, Sihua, et al.
Published: (2023)
by: Wang, Sihua, et al.
Published: (2023)
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
by: Sonmez, Yasin, et al.
Published: (2024)
by: Sonmez, Yasin, et al.
Published: (2024)
Similar Items
-
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024) -
Application-Driven Innovation in Machine Learning
by: Rolnick, David, et al.
Published: (2024) -
Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs
by: Yu, Seungmin, et al.
Published: (2024) -
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024) -
DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs
by: Jin, Haolin, et al.
Published: (2025)