Imagen de Portada

Practical Boolean Backpropagation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Golbert, Simon
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
por: Cobb, Adam D., et al.
Publicado: (2025)

HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation
por: Dudek, Grzegorz, et al.
Publicado: (2025)

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
por: Panda, Ashwinee, et al.
Publicado: (2025)

GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment
por: Nel, Lukas Abrie
Publicado: (2025)

Dynamic Spectral Backpropagation for Efficient Neural Network Training
por: Muthuraman, Mannmohan
Publicado: (2025)

Exploring the Performance of Perforated Backpropagation through Further Experiments
por: Brenner, Rorry, et al.
Publicado: (2025)

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
por: Flügel, Katharina, et al.
Publicado: (2024)

Learning without Global Backpropagation via Synergistic Information Distillation
por: Ye, Chenhao, et al.
Publicado: (2025)

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
por: Yang, Ningyuan, et al.
Publicado: (2025)

Local Pairwise Distance Matching for Backpropagation-Free Reinforcement Learning
por: Tanneberg, Daniel
Publicado: (2025)

Stochastic Layer-wise Learning: Scalable and Efficient Alternative to Backpropagation
por: Yin, Bojian, et al.
Publicado: (2025)

SAL: Selective Adaptive Learning for Backpropagation-Free Training with Sparsification
por: Liu, Fanping, et al.
Publicado: (2026)

Learning Compact Boolean Networks
por: Wang, Shengpu, et al.
Publicado: (2026)

Learning with Boolean threshold functions
por: Elser, Veit, et al.
Publicado: (2026)

BoA: Attention-aware Post-training Quantization without Backpropagation
por: Kim, Junhan, et al.
Publicado: (2024)

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
por: Yang, Yuchen, et al.
Publicado: (2024)

StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs
por: Luo, Qijun, et al.
Publicado: (2025)

Boolean Satisfiability via Imitation Learning
por: Zhang, Zewei, et al.
Publicado: (2025)

On the Expressive Power of GNNs for Boolean Satisfiability
por: Peltonen, Saku, et al.
Publicado: (2026)

Boolean Product Graph Neural Networks
por: Wang, Ziyan, et al.
Publicado: (2024)

First Order Model-Based RL through Decoupled Backpropagation
por: Amigo, Joseph, et al.
Publicado: (2025)

ABPT: Amended Backpropagation through Time with Partially Differentiable Rewards
por: Li, Fanxing, et al.
Publicado: (2025)

Randomized Advantage Transformation (RAT): Computing Natural Policy Gradients via Direct Backpropagation
por: Sun, Mingfei
Publicado: (2026)

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
por: Huang, Kai, et al.
Publicado: (2023)

Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
por: Rüb, Marcus, et al.
Publicado: (2024)

Generalizing Analogical Inference from Boolean to Continuous Domains
por: Cunha, Francisco, et al.
Publicado: (2025)

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
por: Dong, Cynthia, et al.
Publicado: (2025)

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions
por: Hu, Jerry Yao-Chieh, et al.
Publicado: (2025)

Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
por: Nalagatla, Goutham, et al.
Publicado: (2025)

2BP: 2-Stage Backpropagation
por: Rae, Christopher, et al.
Publicado: (2024)

Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS
por: Cichocki, Andrzej
Publicado: (2025)

Limitations of Using Identical Distributions for Training and Testing When Learning Boolean Functions
por: Pérez-Guijarro, Jordi
Publicado: (2025)

A Unified Differentiable Boolean Operator with Fuzzy Logic
por: Liu, Hsueh-Ti Derek, et al.
Publicado: (2024)

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
por: Wang, Yibin, et al.
Publicado: (2024)

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
por: Ghader, Mohammadnavid, et al.
Publicado: (2025)

Beyond Backpropagation: Exploring Innovative Algorithms for Energy-Efficient Deep Neural Network Training
por: Spyra, Przemysław
Publicado: (2025)

Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation
por: Ma, Xiaowen, et al.
Publicado: (2025)

Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
por: Tang, Bo, et al.
Publicado: (2026)

Brain-inspired Chaotic Graph Backpropagation for Large-scale Combinatorial Optimization
por: Tao, Peng, et al.
Publicado: (2024)

Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks
por: Ranga, Sriram, et al.
Publicado: (2025)