Saved in:
| Main Authors: | Fojcik, Katarzyna, Zioma, Renaldas, Armaitis, Jogundas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.12340 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Logic Gate Networks for Video Copy Detection
by: Fojcik, Katarzyna
Published: (2026)
by: Fojcik, Katarzyna
Published: (2026)
Counteracting temporal attacks in Video Copy Detection
by: Fojcik, Katarzyna, et al.
Published: (2025)
by: Fojcik, Katarzyna, et al.
Published: (2025)
Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026)
by: Ma, Zhongtian, et al.
Published: (2026)
A Method for Optimizing Connections in Differentiable Logic Gate Networks
by: Mommen, Wout, et al.
Published: (2025)
by: Mommen, Wout, et al.
Published: (2025)
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
by: Marzari, Luca, et al.
Published: (2025)
by: Marzari, Luca, et al.
Published: (2025)
Learnability Window in Gated Recurrent Neural Networks
by: Livi, Lorenzo
Published: (2025)
by: Livi, Lorenzo
Published: (2025)
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
by: Geng, Xue, et al.
Published: (2024)
by: Geng, Xue, et al.
Published: (2024)
Light Differentiable Logic Gate Networks
by: Rüttgers, Lukas, et al.
Published: (2025)
by: Rüttgers, Lukas, et al.
Published: (2025)
Recurrent Deep Differentiable Logic Gate Networks
by: Bührer, Simon, et al.
Published: (2025)
by: Bührer, Simon, et al.
Published: (2025)
Gated Linear Attention Transformers with Hardware-Efficient Training
by: Yang, Songlin, et al.
Published: (2023)
by: Yang, Songlin, et al.
Published: (2023)
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)
by: Brändle, Sven, et al.
Published: (2025)
Fitting Multilinear Polynomials for Logic Gate Networks
by: Kim, Youngsung
Published: (2026)
by: Kim, Youngsung
Published: (2026)
Convolutional Differentiable Logic Gate Networks
by: Petersen, Felix, et al.
Published: (2024)
by: Petersen, Felix, et al.
Published: (2024)
Learnability of Parameter-Bounded Bayes Nets
by: Bhattacharyya, Arnab, et al.
Published: (2024)
by: Bhattacharyya, Arnab, et al.
Published: (2024)
Fragmentation is Efficiently Learnable by Quantum Neural Networks
by: Mints, Mikhail, et al.
Published: (2025)
by: Mints, Mikhail, et al.
Published: (2025)
Logic Gate Neural Networks are Good for Verification
by: Kresse, Fabian, et al.
Published: (2025)
by: Kresse, Fabian, et al.
Published: (2025)
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
by: Qiu, Zirou, et al.
Published: (2024)
by: Qiu, Zirou, et al.
Published: (2024)
ShiftAddNet: A Hardware-Inspired Deep Network
by: You, Haoran, et al.
Published: (2020)
by: You, Haoran, et al.
Published: (2020)
InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks
by: Fu, Yonggan, et al.
Published: (2021)
by: Fu, Yonggan, et al.
Published: (2021)
Rescaling-Aware Training for Efficient Deployment of Deep Learning Models on Full-Integer Hardware
by: Mueller, Lion, et al.
Published: (2025)
by: Mueller, Lion, et al.
Published: (2025)
Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment
by: Ji, Yuhao, et al.
Published: (2024)
by: Ji, Yuhao, et al.
Published: (2024)
ConSmax: Hardware-Friendly Alternative Softmax with Learnable Parameters
by: Liu, Shiwei, et al.
Published: (2024)
by: Liu, Shiwei, et al.
Published: (2024)
SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
by: Kartashov, Ivan, et al.
Published: (2025)
by: Kartashov, Ivan, et al.
Published: (2025)
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
by: Yousefi, Shakir, et al.
Published: (2025)
by: Yousefi, Shakir, et al.
Published: (2025)
Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
by: Kim, Youngsung
Published: (2026)
by: Kim, Youngsung
Published: (2026)
Polynomial Surrogate Training for Differentiable Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)
by: Damera, Sai Sandeep, et al.
Published: (2026)
CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation Functions
by: Zhang, Hong-Kun, et al.
Published: (2025)
by: Zhang, Hong-Kun, et al.
Published: (2025)
Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware
by: Seekings, James, et al.
Published: (2024)
by: Seekings, James, et al.
Published: (2024)
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
by: Xiao, Jinqi, et al.
Published: (2023)
by: Xiao, Jinqi, et al.
Published: (2023)
On the Stability and Realizability of Recurrent Polynomial Surrogate Ternary Logic Gate Networks
by: Damera, Sai Sandeep, et al.
Published: (2026)
by: Damera, Sai Sandeep, et al.
Published: (2026)
PGF-Net: A Progressive Gated-Fusion Framework for Efficient Multimodal Sentiment Analysis
by: Wen, Bin, et al.
Published: (2025)
by: Wen, Bin, et al.
Published: (2025)
RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning
by: Güemes-Palau, Carlos, et al.
Published: (2025)
by: Güemes-Palau, Carlos, et al.
Published: (2025)
From Bits to Chips: An LLM-based Hardware-Aware Quantization Agent for Streamlined Deployment of LLMs
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design
by: Meng, Jian, et al.
Published: (2024)
by: Meng, Jian, et al.
Published: (2024)
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions
by: Cornacchia, Elisabetta, et al.
Published: (2025)
by: Cornacchia, Elisabetta, et al.
Published: (2025)
Efficient Visual Transformer by Learnable Token Merging
by: Wang, Yancheng, et al.
Published: (2024)
by: Wang, Yancheng, et al.
Published: (2024)
Efficient Document Ranking with Learnable Late Interactions
by: Ji, Ziwei, et al.
Published: (2024)
by: Ji, Ziwei, et al.
Published: (2024)
Resource-Efficient Generative AI Model Deployment in Mobile Edge Networks
by: Liang, Yuxin, et al.
Published: (2024)
by: Liang, Yuxin, et al.
Published: (2024)
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
by: Labbaf-Khaniki, Mohammad Ali, et al.
Published: (2024)
Quantum Logic Gate Synthesis as a Markov Decision Process
by: Alam, M. Sohaib, et al.
Published: (2019)
by: Alam, M. Sohaib, et al.
Published: (2019)
Similar Items
-
Efficient Logic Gate Networks for Video Copy Detection
by: Fojcik, Katarzyna
Published: (2026) -
Counteracting temporal attacks in Video Copy Detection
by: Fojcik, Katarzyna, et al.
Published: (2025) -
Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026) -
A Method for Optimizing Connections in Differentiable Logic Gate Networks
by: Mommen, Wout, et al.
Published: (2025) -
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
by: Marzari, Luca, et al.
Published: (2025)