Copertina

Maximizing Asynchronicity in Event-based Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hao, Haiqing, Zubić, Nikola, He, Weihua, Sui, Zhipeng, Scaramuzza, Davide, Wang, Wenhui
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention
di: Hao, Haiqing, et al.
Pubblicazione: (2026)

State Space Models for Event Cameras
di: Zubić, Nikola, et al.
Pubblicazione: (2024)

Perturbed State Space Feature Encoders for Optical Flow with Event Cameras
di: Raju, Gokul Raju Govinda, et al.
Pubblicazione: (2025)

On the Expressive Power and Limitations of Multi-Layer SSMs
di: Zubić, Nikola, et al.
Pubblicazione: (2026)

Hybrid Event Frame Sensors: Modeling, Calibration, and Simulation
di: Lu, Yunfan, et al.
Pubblicazione: (2025)

Layerwise Change of Knowledge in Neural Networks
di: Cheng, Xu, et al.
Pubblicazione: (2024)

Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
di: Zhang, Yuhui, et al.
Pubblicazione: (2024)

A Primal-Dual Framework for Transformers and Neural Networks
di: Nguyen, Tan M., et al.
Pubblicazione: (2024)

Towards the Resistance of Neural Network Watermarking to Fine-tuning
di: Tang, Ling, et al.
Pubblicazione: (2025)

Woodpecker: Hallucination Correction for Multimodal Large Language Models
di: Yin, Shukang, et al.
Pubblicazione: (2023)

CLEVRER-Humans: Describing Physical and Causal Events the Human Way
di: Mao, Jiayuan, et al.
Pubblicazione: (2023)

Concept-based Analysis of Neural Networks via Vision-Language Models
di: Mangal, Ravi, et al.
Pubblicazione: (2024)

Ovis: Structural Embedding Alignment for Multimodal Large Language Model
di: Lu, Shiyin, et al.
Pubblicazione: (2024)

Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions
di: Surikuchi, Aditya K, et al.
Pubblicazione: (2025)

Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System
di: Wei, Yifei, et al.
Pubblicazione: (2026)

CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
di: Khairy, Sherif, et al.
Pubblicazione: (2026)

Return of the Encoder: Maximizing Parameter Efficiency for SLMs
di: Elfeki, Mohamed, et al.
Pubblicazione: (2025)

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames
di: Cannici, Marco, et al.
Pubblicazione: (2024)

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

Transformers are Stateless Differentiable Neural Computers
di: Tang, Bo, et al.
Pubblicazione: (2026)

Efficient Pre-training for Localized Instruction Generation of Videos
di: Batra, Anil, et al.
Pubblicazione: (2023)

A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
di: Aydin, Asude, et al.
Pubblicazione: (2023)

Multimodal Tabular Reasoning with Privileged Structured Information
di: Jiang, Jun-Peng, et al.
Pubblicazione: (2025)

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models
di: Zhu, Wenhui, et al.
Pubblicazione: (2025)

Bridging the Gap Between Multimodal Foundation Models and World Models
di: He, Xuehai
Pubblicazione: (2025)

From Neural Activations to Concepts: A Survey on Explaining Concepts in Neural Networks
di: Lee, Jae Hee, et al.
Pubblicazione: (2023)

Parrot: Multilingual Visual Instruction Tuning
di: Sun, Hai-Long, et al.
Pubblicazione: (2024)

Enhancing Convolutional Neural Networks with Higher-Order Numerical Difference Methods
di: Wang, Qi, et al.
Pubblicazione: (2024)

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
di: Xiao, Wenyi, et al.
Pubblicazione: (2024)

Robust Training of Neural Networks at Arbitrary Precision and Sparsity
di: Ye, Chengxi, et al.
Pubblicazione: (2024)

ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning
di: Wang, Xiao, et al.
Pubblicazione: (2025)

Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models
di: Zhang, Haoyu, et al.
Pubblicazione: (2026)

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
di: Galil, Ido, et al.
Pubblicazione: (2025)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
di: Man, Yunze, et al.
Pubblicazione: (2024)

LLM as a Neural Architect: Controlled Generation of Image Captioning Models Under Strict API Contracts
di: Jesani, Krunal, et al.
Pubblicazione: (2025)

Mordal: Automated Pretrained Model Selection for Vision Language Models
di: He, Shiqi, et al.
Pubblicazione: (2025)

AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance
di: He, Lixuan, et al.
Pubblicazione: (2025)

Energy-based Automated Model Evaluation
di: Peng, Ru, et al.
Pubblicazione: (2024)

A Review of Mechanistic Models of Event Comprehension
di: Nguyen, Tan T.
Pubblicazione: (2024)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
di: Liu, Dongyang, et al.
Pubblicazione: (2024)