:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Letellier, Guillaume, Srivastava, Siddharth, Jurie, Frédéric, Sharma, Gaurav
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Neural and Evolutionary Computing
Accesso online:	https://arxiv.org/abs/2511.20721
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multistep Distillation of Diffusion Models via Moment Matching
di: Salimans, Tim, et al.
Pubblicazione: (2024)

B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
di: Puniani, Cherish, et al.
Pubblicazione: (2026)

Dynamic Activation with Knowledge Distillation for Energy-Efficient Spiking NN Ensembles
di: Konstantaropoulos, Orestis, et al.
Pubblicazione: (2025)

CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming Data
di: Sharma, Shreya, et al.
Pubblicazione: (2024)

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis
di: Yang, Yisheng, et al.
Pubblicazione: (2024)

DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning
di: Siddiqui, Md. Saiful Bari, et al.
Pubblicazione: (2024)

Analyzing and Improving the Training Dynamics of Diffusion Models
di: Karras, Tero, et al.
Pubblicazione: (2023)

Connective Viewpoints of Signal-to-Noise Diffusion Models
di: Doan, Khanh, et al.
Pubblicazione: (2024)

Understanding Transformer-based Vision Models through Inversion
di: Rathjens, Jan, et al.
Pubblicazione: (2024)

Guiding a Diffusion Model with a Bad Version of Itself
di: Karras, Tero, et al.
Pubblicazione: (2024)

Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
di: Freiberger, Matthias, et al.
Pubblicazione: (2023)

STREAM: A Universal State-Space Model for Sparse Geometric Data
di: Schöne, Mark, et al.
Pubblicazione: (2024)

Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
di: Kotyan, Shashank, et al.
Pubblicazione: (2024)

Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models
di: McAllister, David, et al.
Pubblicazione: (2026)

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
di: Kynkäänniemi, Tuomas, et al.
Pubblicazione: (2024)

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
di: Wu, Dennis, et al.
Pubblicazione: (2023)

Neural Sentinel: Unified Vision Language Model (VLM) for License Plate Recognition with Human-in-the-Loop Continual Learning
di: Sivakoti, Karthik
Pubblicazione: (2026)

SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model
di: Hagnberger, Jan, et al.
Pubblicazione: (2026)

Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware
di: Seekings, James, et al.
Pubblicazione: (2024)

Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
di: Thind, Parampuneet Kaur, et al.
Pubblicazione: (2026)

NeuRN: Neuro-inspired Domain Generalization for Image Classification
di: Jalil, Hamd, et al.
Pubblicazione: (2025)

Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
di: Qazi, Ahmed, et al.
Pubblicazione: (2025)

Concept Probing: Where to Find Human-Defined Concepts (Extended Version)
di: Ribeiro, Manuel de Sousa, et al.
Pubblicazione: (2025)

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation
di: Kumar, Ravin
Pubblicazione: (2025)

The Platonic Representation Hypothesis
di: Huh, Minyoung, et al.
Pubblicazione: (2024)

Neuromimetic metaplasticity for adaptive continual learning
di: Cho, Suhee, et al.
Pubblicazione: (2024)

CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
di: Tiwari, Karn, et al.
Pubblicazione: (2024)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
di: Lin, Jiaqi, et al.
Pubblicazione: (2024)

Winning the Lottery by Preserving Network Training Dynamics with Concrete Ticket Search
di: Arora, Tanay, et al.
Pubblicazione: (2025)

Learning Evolution via Optimization Knowledge Adaptation
di: Wang, Chao, et al.
Pubblicazione: (2025)

When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework
di: Wang, Xiao, et al.
Pubblicazione: (2025)

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
di: Du, Kangrui, et al.
Pubblicazione: (2025)

An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification
di: Woo, Hyenkyun
Pubblicazione: (2023)

APTx: better activation function than MISH, SWISH, and ReLU's variants used in deep learning
di: Kumar, Ravin
Pubblicazione: (2022)

Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
di: Mumuni, Alhassan, et al.
Pubblicazione: (2024)

It's Not a Lottery, It's a Race: Understanding How Gradient Descent Adapts the Network's Capacity to the Task
di: Pinson, Hannah
Pubblicazione: (2026)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation
di: Yao, Xingting, et al.
Pubblicazione: (2025)

DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention
di: Xu, Boxun, et al.
Pubblicazione: (2024)

HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
di: Arora, Mehul, et al.
Pubblicazione: (2024)

The devil is in discretization discrepancy. Robustifying Differentiable NAS with Single-Stage Searching Protocol
di: Subbotko, Konstanty, et al.
Pubblicazione: (2024)