Randall Balestriero

Identifiers

• name variant Randall Balestriero 0.60 · backfill

Papers (26)

1. When Does LeJEPA Learn a World Model? stat.ML · 2026 · author #3
2. stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation cs.LG · 2026 · author #12
3. The Geometric Structure of Models Learning Sparse Data cs.LG · 2026 · author #4
4. The Linear Centroids Hypothesis: Features as Directions Learned by Local Experts cs.LG · 2026 · author #3
5. Post-Hoc Guidance for Consistency Models by Joint Flow Distribution Learning cs.LG · 2026 · author #2
6. Hierarchical Planning with Latent World Models cs.LG · 2026 · author #7
7. LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels cs.LG · 2026 · author #5
8. Causal-JEPA: Learning World Models through Object-Level Latent Masking cs.AI · 2026 · author #5
9. A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures cs.CV · 2026 · author #2
10. PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning cs.LG · 2026 · author #4
11. Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations cs.LG · 2026 · author #4
12. VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation cs.CV · 2026 · author #9
13. LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics cs.LG · 2025 · author #1
14. Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry cs.CV · 2025 · author #6
15. The Geometry of Deep Networks: Power Diagram Subdivision cs.LG · 2019 · author #1
16. From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference cs.LG · 2018 · author #1
17. Mad Max: Affine Spline Insights into Deep Learning stat.ML · 2018 · author #1
18. Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion cs.LG · 2018 · author #1
19. Overcomplete Frame Thresholding for Acoustic Scene Analysis eess.AS · 2017 · author #2
20. Semi-Supervised Learning via New Deep Network Inversion stat.ML · 2017 · author #1
21. Deep Neural Networks stat.ML · 2017 · author #1
22. Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants stat.ML · 2017 · author #1
23. Multiscale Residual Mixture of PCA: Dynamic Dictionaries for Optimal Basis Learning stat.ML · 2017 · author #1
24. Neural Decision Trees stat.ML · 2017 · author #1
25. Fast Chirplet Transform to Enhance CNN Machine Listening - Validation on Animal calls and Speech cs.SD · 2016 · author #3
26. Robust Unsupervised Transient Detection With Invariant Representation based on the Scattering Network stat.ML · 2016 · author #1

Mentions

• 2602.11389 #5 · arxiv_oai · confidence 0.70 Randall Balestriero
• 2602.01456 #4 · arxiv_oai · confidence 0.70 Randall Balestriero
• 2605.26379 #3 · arxiv_oai · confidence 0.70 Randall Balestriero
• 2605.21800 #12 · arxiv_oai · confidence 0.70 Randall Balestriero
• 2605.08464 #4 · arxiv_oai · confidence 0.70 Randall Balestriero
• 2511.08544 #1 · arxiv_oai · confidence 0.70 Randall Balestriero

Frequent Coauthors

• Yann LeCun 8 shared papers
• Richard Baraniuk 7 shared papers
• Herve Glotin 3 shared papers
• Lucas Maes 3 shared papers
• Quentin Le Lidec 3 shared papers
• Ahmed Imtiaz Humayun 2 shared papers
• Amir Bar 2 shared papers
• Basile Terver 2 shared papers
• Behnaam Aazhang 2 shared papers
• Damien Scieur 2 shared papers
• Richard G. Baraniuk 2 shared papers
• Romain Cosentino 2 shared papers
• Thomas Walker 2 shared papers
• Wancong Zhang 2 shared papers
• Adrien Bardes 1 shared papers
• Aman Agarwal 1 shared papers
• Andrew Lee 1 shared papers
• Ankit Patel 1 shared papers
• Artem Zholus 1 shared papers
• Ayush Chaurasia 1 shared papers