Diego Calanzone
@diadochus.bsky.social
« artificia docuit fames »
📖 deep learning, reasoning
🧪 drug design @Mila_Quebec
🏛️ AI grad @UniTrento
halixness.github.io
📖 deep learning, reasoning
🧪 drug design @Mila_Quebec
🏛️ AI grad @UniTrento
halixness.github.io
Pinned
Diego Calanzone
@diadochus.bsky.social
· Feb 20
Molecule sequence models learn vast molecular spaces, but how to navigate them efficiently? We explored multi-objective RL, SFT, merging, but these fall short in balancing control and diversity. We introduce **Mol-MoE**: a mixture of experts for controllable molecule generation🧵
Molecule sequence models learn vast molecular spaces, but how to navigate them efficiently? We explored multi-objective RL, SFT, merging, but these fall short in balancing control and diversity. We introduce **Mol-MoE**: a mixture of experts for controllable molecule generation🧵
February 20, 2025 at 7:43 PM
Molecule sequence models learn vast molecular spaces, but how to navigate them efficiently? We explored multi-objective RL, SFT, merging, but these fall short in balancing control and diversity. We introduce **Mol-MoE**: a mixture of experts for controllable molecule generation🧵
🥳 "Logically Consistent Language Models via Neuro-Symbolic Integration" just accepted at #ICLR2025!
We focus on instilling logical rules in LLMs with an efficient loss, leading to higher factuality & (self) consistency. How? 🧵
We focus on instilling logical rules in LLMs with an efficient loss, leading to higher factuality & (self) consistency. How? 🧵
January 29, 2025 at 11:41 PM
🥳 "Logically Consistent Language Models via Neuro-Symbolic Integration" just accepted at #ICLR2025!
We focus on instilling logical rules in LLMs with an efficient loss, leading to higher factuality & (self) consistency. How? 🧵
We focus on instilling logical rules in LLMs with an efficient loss, leading to higher factuality & (self) consistency. How? 🧵
Reposted by Diego Calanzone
used Cursor (based on claude sonnet 3.5) over VS Code for a week now. Early feedback:
✔️ great to parallelize training and inference
✔️ multi-file context, can easily setup hyperparam sweeps
✔️ great to visualize results with high level guidance. Welcome spider plots!
✔️ great to parallelize training and inference
✔️ multi-file context, can easily setup hyperparam sweeps
✔️ great to visualize results with high level guidance. Welcome spider plots!
November 29, 2024 at 5:34 PM
used Cursor (based on claude sonnet 3.5) over VS Code for a week now. Early feedback:
✔️ great to parallelize training and inference
✔️ multi-file context, can easily setup hyperparam sweeps
✔️ great to visualize results with high level guidance. Welcome spider plots!
✔️ great to parallelize training and inference
✔️ multi-file context, can easily setup hyperparam sweeps
✔️ great to visualize results with high level guidance. Welcome spider plots!
Reposted by Diego Calanzone
Test of Time Paper Awards are out! 2014 was a wonderful year with lots of amazing papers. That's why, we decided to highlight two papers: GANs (@ian-goodfellow.bsky.social et al.) and Seq2Seq (Sutskever et al.). Both papers will be presented in person 😍
Link: blog.neurips.cc/2024/11/27/a...
Link: blog.neurips.cc/2024/11/27/a...
Announcing the NeurIPS 2024 Test of Time Paper Awards – NeurIPS Blog
blog.neurips.cc
November 27, 2024 at 3:48 PM
Test of Time Paper Awards are out! 2014 was a wonderful year with lots of amazing papers. That's why, we decided to highlight two papers: GANs (@ian-goodfellow.bsky.social et al.) and Seq2Seq (Sutskever et al.). Both papers will be presented in person 😍
Link: blog.neurips.cc/2024/11/27/a...
Link: blog.neurips.cc/2024/11/27/a...
researchers on cancer, message me: I’d like to know about your work, your research questions!
November 23, 2024 at 8:49 PM
researchers on cancer, message me: I’d like to know about your work, your research questions!
Reposted by Diego Calanzone
While we're starting up over here, I suppose it's okay to reshare some old content, right?
Here's my lecture from the EEML 2024 summer school in Novi Sad🇷🇸, where I tried to give an intuitive introduction to diffusion models: youtu.be/9BHQvQlsVdE
Check out other lectures on their channel as well!
Here's my lecture from the EEML 2024 summer school in Novi Sad🇷🇸, where I tried to give an intuitive introduction to diffusion models: youtu.be/9BHQvQlsVdE
Check out other lectures on their channel as well!
[EEML'24] Sander Dieleman - Generative modelling through iterative refinement
YouTube video by EEML Community
youtu.be
November 19, 2024 at 9:57 AM
While we're starting up over here, I suppose it's okay to reshare some old content, right?
Here's my lecture from the EEML 2024 summer school in Novi Sad🇷🇸, where I tried to give an intuitive introduction to diffusion models: youtu.be/9BHQvQlsVdE
Check out other lectures on their channel as well!
Here's my lecture from the EEML 2024 summer school in Novi Sad🇷🇸, where I tried to give an intuitive introduction to diffusion models: youtu.be/9BHQvQlsVdE
Check out other lectures on their channel as well!
Reposted by Diego Calanzone
I've created an initial Grumpy Machine Learners starter park. If you think you're grumpy and you "do machine learning", nominate yourself. If you're on the list, but don't think you are grumpy, then take a look in the mirror.
go.bsky.app/6ddpivr
go.bsky.app/6ddpivr
November 18, 2024 at 2:40 PM
I've created an initial Grumpy Machine Learners starter park. If you think you're grumpy and you "do machine learning", nominate yourself. If you're on the list, but don't think you are grumpy, then take a look in the mirror.
go.bsky.app/6ddpivr
go.bsky.app/6ddpivr