Joint-Embedding Predictive Architectures

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Latent Bridge Matching

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Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space
Jun 1, 2026Louis MouchonSpeaker Diarization Speech Encoder
UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures
May 31, 2026Triet M. LeJoint-Embedding Predictive Architectures Sphere-Jepa
BRo-JEPA: Learning Modular Arithmetic in Latent Space
May 31, 2026Divyansh Jha, Yuanfang Xie, Varan Mehra +1Modular Addition Latent World Models
CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval
May 30, 2026Md Aminur Hossain, Ayush V. Patel, Nitant Dube +1Remote Sensing Cross-Modal Learning
TAP-JEPA: Frozen Future-Latent Probing and Two-Stage Score Fusion for EPIC-KITCHENS-100 Action Anticipation
May 30, 2026Chaoyang Wang, Lexuan XuNext Activity Prediction Joint-Embedding Predictive Architectures
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
May 29, 2026Utsav Dutta, Gerardo Pastrana, Sina Khoshfetrat Pakazad +1Joint-Embedding Predictive Architectures Representation Learning
Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models
May 29, 2026Lucas Thil, Jesse Read, Rim Kaddah +1Joint-Embedding Predictive Architectures Latent Bridge Matching
HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning
May 29, 2026Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh +1Remote Sensing Joint-Embedding Predictive Architectures
Augmented Lagrangian Predictive Coding
May 29, 2026Jeffrey Seely, Julian GouldPredictive Coding Deep Network
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
May 26, 2026Funing Fu, Tenghui Wang, Guanyu Zhou +2Latent Diffusion Model Latent Bridge Matching
SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
May 26, 2026Léo Nicollier, Max Dunitz, Marc Pic +3Manifold Learning Method Embedding Dimension
The Rescue Effect: Spatio-Semantic Early Exit Bypasses Quantization Collapse in CLIP
May 26, 2026Kahyeon Nam, Hyesong ChoiFew-Shot Contrastive Language-Image Pre-Training Adaptation Imagenet
UWM-JEPA: Predictive World Models That Imagine in Belief Space
May 25, 2026Santosh Kumar Radha, Oktay GoktasLatent World Models Joint-Embedding Predictive Architectures
DLLM-JEPA: Joint Embedding Predictive Architectures for Masked Diffusion Language Models
May 24, 2026Sangdae NamMasked Diffusion Language Models Sphere-Jepa
NITP: Next Implicit Token Prediction for LLM Pre-training
May 24, 2026Xiangdong Zhang, Debing Zhang, Shaofeng Zhang +3Next-Token Prediction Large Language Model Pretraining
Beyond Generative Priors: Minority Sampling with JEPA-Guided Diffusion
May 23, 2026Sol Park, Soobin UmDiffusion Sampling Generative Priors
VISTA: Technical Report for the Ego4D Short-Term Object Interaction Anticipation at EgoVis 2026
May 20, 2026Qiaohui Chu, Haoyu Zhang, Yisen Feng +4Temporal Action Localization Egocentric Vision
Demo-JEPA: Joint-Embedding Predictive Architecture for One-shot Cross-Embodiment Imitation
May 20, 2026Jingyang He, Guangrun Li, Jieyu Zhang +3Cross-Embodiment Transfer Joint-Embedding Predictive Architectures
Beyond Isotropy in JEPAs: Hamiltonian Geometry and Symplectic Prediction
May 19, 2026Robert Jenkinson AlvarezSphere-Jepa Joint-Embedding Predictive Architectures
Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models
May 19, 2026Noam Major, Kathy Razmadze, Yoli ShavitTime Series Foundation Models Self-Supervised
PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
May 17, 2026Michael Arbel, Basile Terver, Jean PonceJoint-Embedding Predictive Architectures Contrastive Learning
Factorized Latent Dynamics for Video JEPA: An Empirical Study of Auxiliary Objectives
May 16, 2026Santosh PremiVideo Pretraining Joint-Embedding Predictive Architectures
Structure-Aware Masking for Protein Representation Learning
May 15, 2026Thomas Walton, Ayan Goel, Amirali AghazadehProtein Data Bank Sequence Modeling
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
May 15, 2026Tianqiu Zhang, Muyang Lyu, Xiao Liu +1Human Visual Cortex World Models
Latent Video Prediction Learns Better World Models
May 15, 2026Ali J Alrasheed, Aryan Yazdan Parast, Basim Azam +2Future Video Prediction Video World Models
Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction
May 14, 2026Santosh Kumar PaidiFuture Video Prediction Joint-Embedding Predictive Architectures
Representation Without Reward: A JEPA Audit for LLM Fine-Tuning
May 14, 2026Biswa SenguptaLarge Language Model Fine-Tuning Joint-Embedding Predictive Architectures
Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement
May 14, 2026Nian Liu, Nikita Kazeev, Stephen Gregory Dale +8Crystal Molecular Generation
CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision
May 13, 2026Xuanhao Luo, Zhizhen Li, Yuchen LiuChannel State Information Self-Supervised Representations
Mini-JEPA Foundation Model Fleet Enables Agentic Hydrologic Intelligence
May 13, 2026Mashrekur RahmanGeospatial Foundation Models Fundamental Hydrological Principles
JEDI: Joint Embedding Diffusion World Model for Online Model-Based Reinforcement Learning
May 13, 2026Jing Yu Lim, Rushi Shah, Zarif Ikram +4Latent World Models Joint-Embedding Predictive Architectures
Clin-JEPA: A Multi-Phase Co-Training Framework for Joint-Embedding Predictive Pretraining on EHR Patient Trajectories
May 11, 2026Yixuan Yang, Mehak Arora, Ryan Zhang +10Joint-Embedding Predictive Architectures Patient Trajectories
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
May 10, 2026Kai Zhao, Dongliang Nie, Yuchen Lin +4Joint-Embedding Predictive Architectures Latent World Models
Contextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
May 9, 2026Noam Mizrachi, Nadav Har-Tuv, Shai Shalev-ShwartzSequence Modeling Model Selection
ProteinJEPA: Latent prediction improves protein language model pretraining
May 8, 2026Dan Ofer, Dafna Shahaf, Michal LinialLatent Bridge Matching Protein Design
AeroJEPA: Learning Semantic Latent Representations for Scalable 3D Aerodynamic Field Modeling
May 7, 2026Francisco Giral, Abhijeet Vishwasrao, Andrea Arroyo Ramo +8Aerodynamics Latent Bridge Matching
Text-Conditional JEPA for Learning Semantically Rich Visual Representations
May 5, 2026Chen Huang, Xianhang Li, Vimal Thilak +2Visual Semantics Frozen Contrastive Language-Image Pre-Training Visual Encoder
CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining
May 1, 2026Hada Melino Muhammad, Zechen Li, Flora Salim +1Continuous Glucose Monitoring Hypoglycemia Classification
SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
Apr 30, 2026Arnaud ZinflouMultivariate Time Series Imputation Electricity Price Forecasting
Why Self-Supervised Encoders Want to Be Normal
Apr 30, 2026Yuval DombInformation Bottleneck Latent Representation
Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift
Apr 30, 2026Haiyang ZhaoDistribution Shifts Joint-Embedding Predictive Architectures
Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
Apr 25, 2026Teng Chen, Sheng Xu, Feixiang Guo +4Reranking Rationales
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
Apr 20, 2026Yidi YuanLarge Language Model Reasoning Latent Bridge Matching
The Global Neural World Model: Spatially Grounded Discrete Topologies for Action-Conditioned Planning
Apr 17, 2026Noureddine KermicheJoint-Embedding Predictive Architectures Classical Planning
Predict and Reconstruct: Joint Objectives for Self-Supervised Language Representation Learning
Apr 16, 2026Aimen BoukhariJoint-Embedding Predictive Architectures Latent Bridge Matching
US-JEPA: A Joint Embedding Predictive Architecture for Ultrasound
Feb 22, 2026Ashwath Radhachandran, Vedrana Ivezić, Shreeram Athreya +2Ultrasound Joint-Embedding Predictive Architectures
Learning Long-Range Dependencies with Temporal Predictive Coding
Feb 20, 2026Tom Potter, Oliver RhodesPredictive Coding Temporal Difference
Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving
Jan 29, 2026Linhan Wang, Zichong Yang, Chen Bai +6Autonomous Driving Trajectory Prediction
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Jan 23, 2026Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3V2X Accurate Traffic Forecasting
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation
Jun 17, 2025Lihuan Li, Hao Xue, Shuang Ao +2Trajectory Prediction Sphere-Jepa
ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning
Jan 24, 2025Aleksandar Vujinovic, Aleksandar KovacevicImitation Learning Joint-Embedding Predictive Architectures

Jun 1, 2026 · cs.SDJ/K move · Enter open · S save

Echo: A Joint-Embedding Predictive Architecture for Speaker Diarization and Speech Recognition in a Shared Latent Space

Louis Mouchon

Independent Research

We present Echo, a proof-of-concept audio system built around a single 25 M-parameter ViT encoder. The encoder is pretrained with a JEPA objective and then specialised by stages to carry speaker identity, phonetic content, and dynamic source routing in the same 512-dimensional latent space, with no per-task fine-tuning at deployment. Light heads handle diarization (ArcFace + VBx) and dynamic source separation (null-target K-set prediction). On synthetic VoxCeleb2 mixtures with unknown K, the canonical stack reaches 15.00% blind DER, 97.80% PIT separation accuracy with +9.52 dB latent SI-SDR, and a +53.50-point speaker/content factorisation gap on a held-out k-NN probe. The point of Echo is not a new SOTA on any single task but the joint coexistence of three tasks on one encoder at this footprint. We document the design stage by stage, report the dead-ends, and identify the structural wall on end-to-end ASR through the VQ bottleneck that still bounds the PoC.

Speaker Diarization Speech Encoder Joint-Embedding Predictive Architectures Dinov3 Latent Space

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