Mike Tamir
where else to find them
what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- David Ottonce
- Marvin Bertinonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Building Generative Content Understanding Systems | Optimized AI Conference 2026 | 2026-03-30 |
A deployed generative recommender called Tubi FM generative recommender uses LLM base models, direct token injections, semantic IDs via RQ-VAE, and nightly… | ||
| The Advantages of Deep Learning with Recurrent Neural Networks | AI By the Bay 2017 | 2017-03-06 |
Realtime anomaly detection using LSTM RNNs frames forecasting as predict-and-analyze residuals where each metric’s next-step forecast is compared to the… | ||
| Mike Tamir Interview | AI By the Bay 2017 | 2017-03-06 |
Argues that recent progress ties specific deep learning methods to capabilities: convolutional neural nets drive image recognition, 1D convolutions push… | ||
| Like2Vec with neural network embeddings | Data By the Bay 2016 | 2016-05-16 |
Applies Word2Vec-style shallow neural embeddings to user–item graphs, building Like2Vec embeddings from an item co-occurrence matrix weighted by log‑likelihood… | ||
| nothing matches | ||