Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024
Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵
@yaringal.bsky.social @deboramarks.bsky.social @pascalnotin.bsky.social
arxiv.org/abs/2506.089...
@yaringal.bsky.social @deboramarks.bsky.social @pascalnotin.bsky.social
arxiv.org/abs/2506.089...
This time quite a small one: ESM2quinox. A #JAX + Equinox implementation of the ESM2 protein language model.
GitHub: github.com/patrick-kidg...
SciML is obviously my whole jam. My open source has largely focused on the differential equations ...
[1/2]
This time quite a small one: ESM2quinox. A #JAX + Equinox implementation of the ESM2 protein language model.
GitHub: github.com/patrick-kidg...
SciML is obviously my whole jam. My open source has largely focused on the differential equations ...
[1/2]
Why does this matter? Reproducibility & fair comparison have been lacking—until now.
Paper: arxiv.org/abs/2502.12479 | Repo: github.com/blt2114/Moti...
A thread ⬇️
Why does this matter? Reproducibility & fair comparison have been lacking—until now.
Paper: arxiv.org/abs/2502.12479 | Repo: github.com/blt2114/Moti...
A thread ⬇️
Please go ahead, play with it and let us know if there are issues.
github.com/microsoft/bi...
Please go ahead, play with it and let us know if there are issues.
github.com/microsoft/bi...
blackhc.github.io/balitu/
and I'll try to add proper course notes over time 🤗
blackhc.github.io/balitu/
and I'll try to add proper course notes over time 🤗
Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024
Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵
Check out our poster presented by @miguelgondu.bsky.social : neurips.cc/virtual/2024... at #NeurIPS2024
Paper: arxiv.org/abs/2406.04739
Site: machinelearninglifescience.github.io/hdbo_benchma...
🧵
I will talk about our joint work with Geoffrey Wolfer on the estimation of the average mixing time for Markov chains + consequences for machine learning. Link:
arxiv.org/abs/2402.10506
I will talk about our joint work with Geoffrey Wolfer on the estimation of the average mixing time for Markov chains + consequences for machine learning. Link:
arxiv.org/abs/2402.10506