Imagen de Portada

BRo-JEPA: Learning Modular Arithmetic in Latent Space

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jha, Divyansh, Xie, Yuanfang, Mehra, Varan, Yu, Brennen
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
por: Balestriero, Randall, et al.
Publicado: (2025)

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models
por: Ghaemi, Hafez, et al.
Publicado: (2025)

Zero-Shot Quantization via Weight-Space Arithmetic
por: Solombrino, Daniele, et al.
Publicado: (2026)

Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
por: Park, Sol, et al.
Publicado: (2026)

US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound
por: Radhachandran, Ashwath, et al.
Publicado: (2026)

Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings
por: Fertig, Alexander, et al.
Publicado: (2026)

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures
por: Le, Triet M.
Publicado: (2026)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
por: Hu, Chen, et al.
Publicado: (2024)

Pixel-Space Post-Training of Latent Diffusion Models
por: Zhang, Christina, et al.
Publicado: (2024)

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
por: Li, Lihuan, et al.
Publicado: (2025)

Heterogeneous-Modal Unsupervised Domain Adaptation via Latent Space Bridging
por: Yang, Jiawen, et al.
Publicado: (2025)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
por: Paeedeh, Naeem, et al.
Publicado: (2025)

Federated Domain Generalization with Latent Space Inversion
por: Palakkadavath, Ragja, et al.
Publicado: (2025)

Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
por: Van Assel, Hugues, et al.
Publicado: (2025)

Constructing Fair Latent Space for Intersection of Fairness and Explainability
por: Joo, Hyungjun, et al.
Publicado: (2024)

Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
por: Vali, Mohammad Hassan, et al.
Publicado: (2024)

Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models
por: Kotyan, Shashank, et al.
Publicado: (2024)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
por: Kangin, Dmitry, et al.
Publicado: (2024)

Learning Energy-based Variational Latent Prior for VAEs
por: Dutta, Debottam, et al.
Publicado: (2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
por: Assran, Mido, et al.
Publicado: (2025)

Unsupervised Dynamic Feature Selection for Robust Latent Spaces in Vision Tasks
por: Corcuera, Bruno, et al.
Publicado: (2025)

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space
por: Zhao, Xuekun, et al.
Publicado: (2022)

Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
por: Behmanesh, Maysam, et al.
Publicado: (2025)

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
por: Petsiuk, Vitali, et al.
Publicado: (2024)

k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
por: Kotyan, Shashank, et al.
Publicado: (2023)

SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space
por: Redekop, Ekaterina, et al.
Publicado: (2025)

Latent Action Learning Requires Supervision in the Presence of Distractors
por: Nikulin, Alexander, et al.
Publicado: (2025)

CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
por: Lin, Shen, et al.
Publicado: (2026)

ED-NeRF: Efficient Text-Guided Editing of 3D Scene with Latent Space NeRF
por: Park, Jangho, et al.
Publicado: (2023)

Variational Transfer Learning using Cross-Domain Latent Modulation
por: Hou, Jinyong, et al.
Publicado: (2022)

Latent Space Probing for Adult Content Detection in Video Generative Models
por: Khatri, Alizishaan, et al.
Publicado: (2026)

Reducing Hallucinations in Vision-Language Models via Latent Space Steering
por: Liu, Sheng, et al.
Publicado: (2024)

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
por: Nguyen, Tuan, et al.
Publicado: (2025)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning
por: Frascaroli, Emanuele, et al.
Publicado: (2024)

ShapeWords: Guiding Text-to-Image Synthesis with 3D Shape-Aware Prompts
por: Petrov, Dmitry, et al.
Publicado: (2024)

DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture
por: Mo, Shentong, et al.
Publicado: (2024)

Probing the Latent World: Emergent Discrete Symbols and Physical Structure in Latent Representations
por: ming, Liu hung
Publicado: (2026)

Using Shapley interactions to understand how models use structure
por: Singhvi, Divyansh, et al.
Publicado: (2024)

Learning Visual Feature-Based World Models via Residual Latent Action
por: Zhang, Xinyu, et al.
Publicado: (2026)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
por: Bai, Sikai, et al.
Publicado: (2024)