Cover Image

Permutation Learning with Only N Parameters: From SoftSort to Self-Organizing Gaussians

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barthel, Kai Uwe, Barthel, Florian, Eisert, Peter
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Creating Sorted Grid Layouts with Gradient-based Optimization
by: Barthel, Kai Uwe, et al.
Published: (2025)

Compact 3D Scene Representation via Self-Organizing Gaussian Grids
by: Morgenstern, Wieland, et al.
Published: (2023)

Improving Adaptive Density Control for 3D Gaussian Splatting
by: Grubert, Glenn, et al.
Published: (2025)

Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
by: Schall, Konstantin, et al.
Published: (2024)

Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
by: Barthel, Florian, et al.
Published: (2024)

CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
by: Barthel, Florian, et al.
Published: (2025)

3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods
by: Bagdasarian, Milena T., et al.
Published: (2024)

TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning
by: Chen, Lihong, et al.
Published: (2025)

COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing
by: Barthel, Florian, et al.
Published: (2026)

Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
by: Salwig, Sebastian, et al.
Published: (2025)

Soft Equivariance Regularization for Invariant Self-Supervised Learning
by: Lee, Joohyung, et al.
Published: (2026)

Forward-Only Continual Learning
by: Chen, Jiao, et al.
Published: (2025)

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
by: Silva, Thalles, et al.
Published: (2025)

SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
by: Li, Zhaoyang, et al.
Published: (2026)

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
by: Stirling, Jamie S. J., et al.
Published: (2026)

You Only Train Once
by: Sakaridis, Christos
Published: (2025)

Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization
by: Wang, Zhican, et al.
Published: (2025)

Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
by: Zhang, Binchi, et al.
Published: (2025)

Mixed Autoencoder for Self-supervised Visual Representation Learning
by: Chen, Kai, et al.
Published: (2023)

Debiasing Vison-Language Models with Text-Only Training
by: Yang, Yunfan, et al.
Published: (2024)

From Volumes to Slices: Computationally Efficient Contrastive Learning for Sequential Abdominal CT Analysis
by: Chiu, Po-Kai, et al.
Published: (2026)

Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
by: Zhang, Kaifeng, et al.
Published: (2025)

Human-Centered Evaluation of XAI Methods
by: Dawoud, Karam, et al.
Published: (2023)

PerFormer: A Permutation Based Vision Transformer for Remaining Useful Life Prediction
by: Fan, Zhengyang, et al.
Published: (2025)

Learning to Weight Parameters for Training Data Attribution
by: Li, Shuangqi, et al.
Published: (2025)

Multi-Resolution Generative Modeling of Human Motion from Limited Data
by: Moreno-Villamarín, David Eduardo, et al.
Published: (2024)

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
by: Gao, Xin, et al.
Published: (2025)

Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
by: Berasi, Davide, et al.
Published: (2025)

D'OH: Decoder-Only Random Hypernetworks for Implicit Neural Representations
by: Gordon, Cameron, et al.
Published: (2024)

Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)

From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
by: Wu, Jialin, et al.
Published: (2025)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
by: Zheng, Ziwei, et al.
Published: (2024)

From Sparse to Soft Mixtures of Experts
by: Puigcerver, Joan, et al.
Published: (2023)

Epoch-evolving Gaussian Process Guided Learning
by: Cui, Jiabao, et al.
Published: (2020)

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
by: Li, Yucheng, et al.
Published: (2025)

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
by: Shao, Shitong, et al.
Published: (2023)

Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation
by: Bhat, Prashant Shivaram, et al.
Published: (2025)

Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction?
by: Boucaud, Laurent, et al.
Published: (2021)

Tunable Soft Equivariance with Guarantees
by: Rahman, Md Ashiqur, et al.
Published: (2026)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)