Tiny, On-Device Decision Makers with the MiniConv Library
Fuente:
arXiv
Saved in:
| Main Author: | Purves, Carlos |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)
by: Purves, Carlos, et al.
Published: (2026)
2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support
by: Nyberg, Otto, et al.
Published: (2026)
by: Nyberg, Otto, et al.
Published: (2026)
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
Statistical Tests for Replacing Human Decision Makers with Algorithms
by: Feng, Kai, et al.
Published: (2023)
by: Feng, Kai, et al.
Published: (2023)
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
by: Duong, Manh Khoi, et al.
Published: (2024)
by: Duong, Manh Khoi, et al.
Published: (2024)
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
by: Han, Lixiang, et al.
Published: (2024)
by: Han, Lixiang, et al.
Published: (2024)
Tiny Reinforcement Learning for Quadruped Locomotion using Decision Transformers
by: Akgün, Orhan Eren, et al.
Published: (2024)
by: Akgün, Orhan Eren, et al.
Published: (2024)
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
by: Qu, Yun, et al.
Published: (2025)
by: Qu, Yun, et al.
Published: (2025)
Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
by: Rüb, Marcus, et al.
Published: (2024)
by: Rüb, Marcus, et al.
Published: (2024)
MOSAIC: A Unified Platform for Cross-Paradigm Comparison and Evaluation of Homogeneous and Heterogeneous Multi-Agent RL, LLM, VLM, and Human Decision-Makers
by: Mousa, Abdulhamid M., et al.
Published: (2026)
by: Mousa, Abdulhamid M., et al.
Published: (2026)
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
by: Pfeiffer, Kilian, et al.
Published: (2024)
by: Pfeiffer, Kilian, et al.
Published: (2024)
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
by: Shen, Leming, et al.
Published: (2025)
by: Shen, Leming, et al.
Published: (2025)
Where to Measure: Epistemic Uncertainty-Based Sensor Placement with ConvCNPs
by: Eksen, Feyza, et al.
Published: (2025)
by: Eksen, Feyza, et al.
Published: (2025)
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
by: Lin, Licong, et al.
Published: (2023)
by: Lin, Licong, et al.
Published: (2023)
Less is More: Recursive Reasoning with Tiny Networks
by: Jolicoeur-Martineau, Alexia
Published: (2025)
by: Jolicoeur-Martineau, Alexia
Published: (2025)
Test-time Adaptation of Tiny Recursive Models
by: McGovern, Ronan Killian
Published: (2025)
by: McGovern, Ronan Killian
Published: (2025)
BinConv: A Neural Architecture for Ordinal Encoding in Time-Series Forecasting
by: Chernov, Andrei, et al.
Published: (2025)
by: Chernov, Andrei, et al.
Published: (2025)
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
by: Pei, Yan Ru
Published: (2025)
by: Pei, Yan Ru
Published: (2025)
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
by: Li, Mufei, et al.
Published: (2023)
by: Li, Mufei, et al.
Published: (2023)
Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)
by: Cai, Tianle, et al.
Published: (2023)
TinyML-Enabled IoT for Sustainable Precision Irrigation
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
by: Liang, Yingyu, et al.
Published: (2024)
by: Liang, Yingyu, et al.
Published: (2024)
NAVIX: Scaling MiniGrid Environments with JAX
by: Pignatelli, Eduardo, et al.
Published: (2024)
by: Pignatelli, Eduardo, et al.
Published: (2024)
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
by: Zeinaty, Christophe El, et al.
Published: (2025)
by: Zeinaty, Christophe El, et al.
Published: (2025)
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
by: Carnelos, Matteo, et al.
Published: (2024)
by: Carnelos, Matteo, et al.
Published: (2024)
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)
by: Liu, Yezi, et al.
Published: (2024)
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)
by: Deutel, Mark, et al.
Published: (2023)
TinySubNets: An efficient and low capacity continual learning strategy
by: Pietroń, Marcin, et al.
Published: (2024)
by: Pietroń, Marcin, et al.
Published: (2024)
MiniTensor: A Lightweight, High-Performance Tensor Operations Library
by: Sarkar, Soumyadip
Published: (2026)
by: Sarkar, Soumyadip
Published: (2026)
Mini-Batch Class Composition Bias in Link Prediction
by: Maguire, Kieran, et al.
Published: (2026)
by: Maguire, Kieran, et al.
Published: (2026)
Optimizing Genetic Algorithms with Multilayer Perceptron Networks for Enhancing TinyFace Recognition
by: Al-Batah, Mohammad Subhi, et al.
Published: (2025)
by: Al-Batah, Mohammad Subhi, et al.
Published: (2025)
Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
by: Li, Changyu, et al.
Published: (2026)
by: Li, Changyu, et al.
Published: (2026)
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
by: Sha, Hao, et al.
Published: (2023)
by: Sha, Hao, et al.
Published: (2023)
TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis
by: Ekambaram, Vijay, et al.
Published: (2025)
by: Ekambaram, Vijay, et al.
Published: (2025)
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
by: Rashid, Hasib-Al, et al.
Published: (2024)
by: Rashid, Hasib-Al, et al.
Published: (2024)
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)
by: Lee, Myeonghwa, et al.
Published: (2024)
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning
by: Bao, Ziyuan, et al.
Published: (2025)
by: Bao, Ziyuan, et al.
Published: (2025)
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
by: Balaji, Vignesh, et al.
Published: (2025)
by: Balaji, Vignesh, et al.
Published: (2025)
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches
by: Salih, Ahmed M
Published: (2024)
by: Salih, Ahmed M
Published: (2024)
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
by: MiniMax, et al.
Published: (2026)
by: MiniMax, et al.
Published: (2026)
Similar Items
-
CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026) -
2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support
by: Nyberg, Otto, et al.
Published: (2026) -
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025) -
Statistical Tests for Replacing Human Decision Makers with Algorithms
by: Feng, Kai, et al.
Published: (2023) -
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-Makers
by: Duong, Manh Khoi, et al.
Published: (2024)