Skip to main content

x-jepa (wip)

Explorations into some of the approaches advocated by Yann LeCun, and just a more wholistic architecture (JEPA) in general

Citations

@inproceedings{LeCun2022APT,
    title   = {A Path Towards Autonomous Machine Intelligence},
    author  = {Yann LeCun and Courant},
    year    = {2022},
    url     = {https://api.semanticscholar.org/CorpusID:251881108}
}
@misc{maes2026leworldmodelstableendtoendjointembedding,
    title   = {LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels},
    author  = {Lucas Maes and Quentin Le Lidec and Damien Scieur and Yann LeCun and Randall Balestriero},
    year    = {2026},
    eprint  = {2603.19312},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2603.19312},
}
@misc{gao2026fastleworldmodel,
    title   = {Fast LeWorldModel},
    author  = {Yuntian Gao and Xiangyu Xu},
    year    = {2026},
    eprint  = {2606.26217},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2606.26217},
}
@misc{teoh2026nextlatentpredictiontransformerslearn,
    title   = {Next-Latent Prediction Transformers Learn Compact World Models},
    author  = {Jayden Teoh and Manan Tomar and Kwangjun Ahn and Edward S. Hu and Tim Pearce and Pratyusha Sharma and Akshay Krishnamurthy and Riashat Islam and Alex Lamb and John Langford},
    year    = {2026},
    eprint  = {2511.05963},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2511.05963},
}
@inproceedings{saravanos2026learningtooptimize,
    title   = {Learning-to-Optimize via Deep Unfolded Flows},
    author  = {Augustinos D Saravanos and Oswin So and H M Sabbir Ahmad and Chuchu Fan},
    booktitle = {Forty-third International Conference on Machine Learning},
    year    = {2026},
    url     = {https://openreview.net/forum?id=ZOtOq7hxJP}
}
@misc{farebrother2026compositionalplanningjumpyworld,
    title   = {Compositional Planning with Jumpy World Models},
    author  = {Jesse Farebrother and Matteo Pirotta and Andrea Tirinzoni and Marc G. Bellemare and Alessandro Lazaric and Ahmed Touati},
    year    = {2026},
    eprint  = {2602.19634},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2602.19634},
}
@misc{balestriero2025lejepaprovablescalableselfsupervised,
    title   = {LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics},
    author  = {Randall Balestriero and Yann LeCun},
    year    = {2025},
    eprint  = {2511.08544},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2511.08544},
}
@misc{wu2026visreg,
    title   = {VISReg: Variance-Invariance-Sketching Regularization for JEPA training},
    author  = {Haiyu Wu and Randall Balestriero and Morgan Levine},
    year    = {2026},
    eprint  = {2606.02572},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2606.02572},
}
@misc{kimiteam2026attentionresiduals,
    title   = {Attention Residuals},
    author  = {Kimi Team and Guangyu Chen and Yu Zhang and Jianlin Su and Weixin Xu and Siyuan Pan and Yaoyu Wang and Yucheng Wang and Guanduo Chen and Bohong Yin and Yutian Chen and Junjie Yan and Ming Wei and Y. Zhang and Fanqing Meng and Chao Hong and Xiaotong Xie and Shaowei Liu and Enzhe Lu and Yunpeng Tai and Yanru Chen and Xin Men and Haiqing Guo and Y. Charles and Haoyu Lu and Lin Sui and Jinguo Zhu and Zaida Zhou and Weiran He and Weixiao Huang and Xinran Xu and Yuzhi Wang and Guokun Lai and Yulun Du and Yuxin Wu and Zhilin Yang and Xinyu Zhou},
    year    = {2026},
    eprint  = {2603.15031},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL},
    url     = {https://arxiv.org/abs/2603.15031},
}
@inproceedings{Feng2024WereRA,
    title   = {Were RNNs All We Needed?},
    author  = {Leo Feng and Frederick Tung and Mohamed Osama Ahmed and Yoshua Bengio and Hossein Hajimirsadegh},
    year    = {2024},
    url     = {https://api.semanticscholar.org/CorpusID:273025630}
}
@misc{liu2024singlegoalneedskills,
    title   = {A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals},
    author  = {Grace Liu and Michael Tang and Benjamin Eysenbach},
    year    = {2024},
    eprint  = {2408.05804},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2408.05804},
}
@misc{gopalakrishnan2025decouplingwhatwherepolar,
    title   = {Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings},
    author  = {Anand Gopalakrishnan and Robert Csordás and Jürgen Schmidhuber and Michael C. Mozer},
    year    = {2025},
    eprint  = {2509.10534},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2509.10534},
}
@misc{wang2026temporalstraighteninglatentplanning,
    title   = {Temporal Straightening for Latent Planning},
    author  = {Ying Wang and Oumayma Bounou and Gaoyue Zhou and Randall Balestriero and Tim G. J. Rudner and Yann LeCun and Mengye Ren},
    year    = {2026},
    eprint  = {2603.12231},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2603.12231},
}
@misc{kuhn2026levljepaendtoendvisionlanguagepretraining,
    title   = {LeVLJEPA: End-to-End Vision-Language Pretraining Without Negatives},
    author  = {Lukas Kuhn and Giuseppe Serra and Randall Balestriero and Florian Buettner},
    year    = {2026},
    eprint  = {2607.00784},
    archivePrefix = {arXiv},
    primaryClass = {cs.CV},
    url     = {https://arxiv.org/abs/2607.00784},
}
@misc{ma2024transformerworldmodelsbetter,
    title   = {Do Transformer World Models Give Better Policy Gradients?},
    author  = {Michel Ma and Tianwei Ni and Clement Gehring and Pierluca D'Oro and Pierre-Luc Bacon},
    year    = {2024},
    eprint  = {2402.05290},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2402.05290},
}
@misc{lobel2023flippingcoinsestimatepseudocounts,
    title   = {Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning},
    author  = {Sam Lobel and Akhil Bagaria and George Konidaris},
    year    = {2023},
    eprint  = {2306.03186},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2306.03186},
}
@misc{tandon2025endtoendtesttimetraininglong,
    title   = {End-to-End Test-Time Training for Long Context},
    author  = {Arnuv Tandon and Karan Dalal and Xinhao Li and Daniel Koceja and Marcel Rød and Sam Buchanan and Xiaolong Wang and Jure Leskovec and Sanmi Koyejo and Tatsunori Hashimoto and Carlos Guestrin and Jed McCaleb and Yejin Choi and Yu Sun},
    year    = {2025},
    eprint  = {2512.23675},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2512.23675},
}
@misc{liu2023metricresidualnetworkssample,
    title   = {Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning},
    author  = {Bo Liu and Yihao Feng and Qiang Liu and Peter Stone},
    year    = {2023},
    eprint  = {2208.08133},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2208.08133},
}
@article{kaddour2026target,
    title   = {Target Policy Optimization},
    author  = {Kaddour, Jean},
    journal = {arXiv preprint arXiv:2604.06159},
    year    = {2026}
}
@article{Eysenbach2018DiversityIA,
    title   = {Diversity is All You Need: Learning Skills without a Reward Function},
    author  = {Benjamin Eysenbach and Abhishek Gupta and Julian Ibarz and Sergey Levine},
    journal = {ArXiv},
    year    = {2018},
    volume  = {abs/1802.06070},
    url     = {https://arxiv.org/abs/1802.06070}
}
@misc{jiang2022generalintelligencerequiresrethinking,
    title   = {General Intelligence Requires Rethinking Exploration},
    author  = {Minqi Jiang and Tim Rocktäschel and Edward Grefenstette},
    year    = {2022},
    eprint  = {2211.07819},
    archivePrefix = {arXiv},
    primaryClass = {cs.AI},
    url     = {https://arxiv.org/abs/2211.07819},
}
@misc{greenberg2022efficientriskaversereinforcementlearning,
    title   = {Efficient Risk-Averse Reinforcement Learning},
    author  = {Ido Greenberg and Yinlam Chow and Mohammad Ghavamzadeh and Shie Mannor},
    year    = {2022},
    eprint  = {2205.05138},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2205.05138},
}
@article{zhao2025knowledge,
    author  = {Zhao, Rui and Fan, Yuze and Li, Yun and Zhang, Dong and Gao, Fei and Gao, Zhenhai and Yang, Zhengcai},
    title   = {Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving},
    journal = {Sensors},
    year    = {2025},
    volume  = {25},
    number  = {1},
    pages   = {191},
    doi     = {10.3390/s25010191},
    url     = {https://www.mdpi.com/1424-8220/25/1/191}
}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

x_jepa-0.0.104.tar.gz (56.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

x_jepa-0.0.104-py3-none-any.whl (59.9 kB view details)

Uploaded Python 3

File details

Details for the file x_jepa-0.0.104.tar.gz.

File metadata

  • Download URL: x_jepa-0.0.104.tar.gz
  • Upload date:
  • Size: 56.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for x_jepa-0.0.104.tar.gz
Algorithm Hash digest
SHA256 1f82a8d28c400b4598977a9ae1921086a2b5b493428ac10384a472e2603ee9a4
MD5 63dfb8867b2875f0428a48d79cf34978
BLAKE2b-256 a70a4b6f73e3af2a0e2691c8159248fa023e2b9d698b6c12f9b3e3b05f7099bc

See more details on using hashes here.

File details

Details for the file x_jepa-0.0.104-py3-none-any.whl.

File metadata

  • Download URL: x_jepa-0.0.104-py3-none-any.whl
  • Upload date:
  • Size: 59.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for x_jepa-0.0.104-py3-none-any.whl
Algorithm Hash digest
SHA256 27735b00e21e00845ef653b10438d0dbef07244fa72b1e20f3b3c42888e9027d
MD5 61305c8fa3212d8433beceff82302af3
BLAKE2b-256 825c4fc3f3f74ef340aae1768d8709c0d2e255963c24938f53f26514c857f853

See more details on using hashes here.

Release history Release notifications | RSS feed

0.0.107

2 files

0.0.106

2 files

This release

0.0.104 This release

2 files

0.0.102

2 files

0.0.101

2 files

0.0.100

2 files

0.0.99

2 files

0.0.97

2 files

0.0.96

2 files

0.0.94

2 files

0.0.93

2 files

0.0.92

2 files

0.0.91

2 files

0.0.90

2 files

0.0.88

2 files

0.0.86

2 files

0.0.85

2 files

0.0.84

2 files

0.0.83

2 files

0.0.82

2 files

0.0.81

1 file

0.0.80

2 files

0.0.79

2 files

0.0.78

2 files

0.0.77

2 files

0.0.76

2 files

0.0.75

2 files

0.0.74

2 files

0.0.73

2 files

0.0.72

2 files

0.0.71

2 files

0.0.70

2 files

0.0.67

2 files

0.0.65

2 files

0.0.64

2 files

0.0.62

2 files

0.0.61

2 files

0.0.60

2 files

0.0.59

2 files

0.0.58

2 files

0.0.56

2 files

0.0.55

2 files

0.0.54

2 files

0.0.53

2 files

0.0.52

2 files

0.0.51

2 files

0.0.50

2 files

0.0.49

2 files

0.0.48

2 files

0.0.47

2 files

0.0.46

2 files

0.0.45

2 files

0.0.44

2 files

0.0.43

2 files

0.0.42

2 files

0.0.41

2 files

0.0.40

2 files

0.0.39

2 files

0.0.38

2 files

0.0.37

2 files

0.0.36

2 files

0.0.35

2 files

0.0.34

2 files

0.0.33

2 files

0.0.32

2 files

0.0.31

2 files

0.0.30

2 files

0.0.29

2 files

0.0.28

2 files

0.0.27

2 files

0.0.26

2 files

0.0.25

2 files

0.0.24

2 files

0.0.23

2 files

0.0.21

2 files

0.0.20

2 files

0.0.19

1 file

0.0.18

2 files

0.0.17

2 files

0.0.16

2 files

0.0.15

2 files

0.0.14

2 files

0.0.12

2 files

0.0.10

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page