Machine Learning with a Honk
Massimiliano ViolaWeekly insights into machine learning research, focusing on computer vision and generative models.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 63 | Founded | 2 years ago | Last Issue | 4 days ago |
| Active | |||||
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63. Steerable Visual Representations
Introduction
Pretrained Vision Transformers (ViTs) are static by design. If we have an architecture and a fixed set of weights, feeding an image through the model yields an identical output every single time.
Still, anyone deploying the...
62. PartField
Introduction
General 3D encoders are becoming popular as we adopt more scalable architectures and expand the size and diversity of training datasets. For instance, models like Sonata [2], Concerto [3], and Utonia [4], which I covered in...
61. CVPR 2026 Recap
A conference a mile high
At the beginning of the month, the IEEE/CVF Conference on Computer Vision and Pattern Recognition (aka CVPR) 2026 took place in Denver, Colorado. With the convention center standing literally a mile high (yes, 16...
60. Sapiens and Sapiens2
Introduction
Image foundation models learn powerful features from massive datasets with the goal of maximizing performance on a wide range of tasks. But when it comes to human-centric vision applications, such as fine-grained body part s...
59. From AM-RADIO to C-RADIOv4
Introduction
Over the last five years, industry research in computer vision has produced a wide variety of foundation models. Powerful, general, and trained on large datasets, they have historically dominated certain tasks but consistent...
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Authors
The writers behind this newsletter.
Perception & Safety at Bedrock Robotics. Previously at Cerrion (YC S22), Stanford, and ETH Zurich.
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