Before: 7y of C++/JS/VR/AR/ML at Varjo, Yle, Reaktor, Automattic ...
After dark: synthesizers & 3D gfx
New paper: Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders
Code/data/paper: github.com/helsinki-sda...
Presented at European Conference on Artificial Intelligence 2024
Map graph learned from weather #timeseries, adjacency from 7 engines!
There's a ~90 page intro to "foundations of complexity science" (which is also sold separately).
(The super interesting) papers each have a 5-10 page intro with historical context, and are full of annotations ❤️
There's a ~90 page intro to "foundations of complexity science" (which is also sold separately).
(The super interesting) papers each have a 5-10 page intro with historical context, and are full of annotations ❤️
1. VAE + nonlinear ICA-style aux variables
openreview.net/forum?id=d16...
2. Contrastive learning
openreview.net/forum?id=ONf...
1. VAE + nonlinear ICA-style aux variables
openreview.net/forum?id=d16...
2. Contrastive learning
openreview.net/forum?id=ONf...
Start from a pretrained LLM, sample K responses for tasks (e.g., LeetCode problems with N tests). Update weights to favor better-than-average responses, as the true correct code is unknown. Also, reward correct output format.
#LLM #genAI #RL
New paper: Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders
Code/data/paper: github.com/helsinki-sda...
Presented at European Conference on Artificial Intelligence 2024
Map graph learned from weather #timeseries, adjacency from 7 engines!
New paper: Subsystem Discovery in High-Dimensional Time-Series Using Masked Autoencoders
Code/data/paper: github.com/helsinki-sda...
Presented at European Conference on Artificial Intelligence 2024
Map graph learned from weather #timeseries, adjacency from 7 engines!