Alex Soares
@alexsoares.bsky.social
Reposted by Alex Soares
Both #Cancer #Research starter packs are now completely full!
~300 researchers, oncologists, students, postdocs, patient advocates, and organizations supporting cancer research 🧪🔬⚕️
I hope you'll find these useful to build our community here
Pack 1: go.bsky.app/FEoaJMc
Pack 2: go.bsky.app/6EcjWNA
~300 researchers, oncologists, students, postdocs, patient advocates, and organizations supporting cancer research 🧪🔬⚕️
I hope you'll find these useful to build our community here
Pack 1: go.bsky.app/FEoaJMc
Pack 2: go.bsky.app/6EcjWNA
November 23, 2024 at 1:27 PM
Both #Cancer #Research starter packs are now completely full!
~300 researchers, oncologists, students, postdocs, patient advocates, and organizations supporting cancer research 🧪🔬⚕️
I hope you'll find these useful to build our community here
Pack 1: go.bsky.app/FEoaJMc
Pack 2: go.bsky.app/6EcjWNA
~300 researchers, oncologists, students, postdocs, patient advocates, and organizations supporting cancer research 🧪🔬⚕️
I hope you'll find these useful to build our community here
Pack 1: go.bsky.app/FEoaJMc
Pack 2: go.bsky.app/6EcjWNA
Reposted by Alex Soares
What AI can tell us about microscope slides: classifying cancer cells, predicting prognosis, and identifying genetic mutations that may drive treatment choices.
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
Rachel Thomas, PhD - What AI can tell us about microscope slides
an AI researcher going back to school for immunology
rachel.fast.ai
January 16, 2025 at 10:13 PM
What AI can tell us about microscope slides: classifying cancer cells, predicting prognosis, and identifying genetic mutations that may drive treatment choices.
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
My latest post is a friendly introduction to Foundation Models for Computational Pathology: rachel.fast.ai/posts/2025-0... 1/
Reposted by Alex Soares
Three BioML starter packs now!
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
December 3, 2024 at 3:27 AM
Three BioML starter packs now!
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
Pack 1: go.bsky.app/2VWBcCd
Pack 2: go.bsky.app/Bw84Hmc
Pack 3: go.bsky.app/NAKYUok
DM if you want to be included (or nominate people who should be!)
Reposted by Alex Soares
Looks like a cool study. Lots to learn from ants about large scale coordination
www.pnas.org/doi/10.1073/...
"Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently."
h/t @petersuber.bsky.social
www.pnas.org/doi/10.1073/...
"Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently."
h/t @petersuber.bsky.social
Comparing cooperative geometric puzzle solving in ants versus humans | PNAS
Biological ensembles use collective intelligence to tackle challenges together, but
suboptimal coordination can undermine the effectiveness of grou...
www.pnas.org
December 25, 2024 at 9:57 PM
Looks like a cool study. Lots to learn from ants about large scale coordination
www.pnas.org/doi/10.1073/...
"Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently."
h/t @petersuber.bsky.social
www.pnas.org/doi/10.1073/...
"Our results exemplify how simple minds can easily enjoy scalability while complex brains require extensive communication to cooperate efficiently."
h/t @petersuber.bsky.social
Reposted by Alex Soares
December 4, 2024 at 11:25 AM
Reposted by Alex Soares
Great explainer on sinusoidal positional encoding and rotary positional embedding (RoPE).
fleetwood.dev/posts/you-co...
fleetwood.dev/posts/you-co...
November 30, 2024 at 11:26 PM
Great explainer on sinusoidal positional encoding and rotary positional embedding (RoPE).
fleetwood.dev/posts/you-co...
fleetwood.dev/posts/you-co...
Reposted by Alex Soares
@ropeharz.bsky.social forced me to do this starter pack on #tractable #probabilistic modeling and #reasoning in #AI and #ML
please write below if you want to be added (and sorry if I did not find you from the beginning).
go.bsky.app/DhVNyz5
please write below if you want to be added (and sorry if I did not find you from the beginning).
go.bsky.app/DhVNyz5
November 29, 2024 at 1:11 PM
@ropeharz.bsky.social forced me to do this starter pack on #tractable #probabilistic modeling and #reasoning in #AI and #ML
please write below if you want to be added (and sorry if I did not find you from the beginning).
go.bsky.app/DhVNyz5
please write below if you want to be added (and sorry if I did not find you from the beginning).
go.bsky.app/DhVNyz5
Reposted by Alex Soares
Excellent podcast with Nikhil Kamath in which we cover a lot of topics related to AI and deep learning.
www.youtube.com/watch?v=JAgH...
www.youtube.com/watch?v=JAgH...
WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4
YouTube video by Nikhil Kamath
www.youtube.com
November 29, 2024 at 7:22 PM
Excellent podcast with Nikhil Kamath in which we cover a lot of topics related to AI and deep learning.
www.youtube.com/watch?v=JAgH...
www.youtube.com/watch?v=JAgH...
Reposted by Alex Soares
Join the Cheminformatics, Machine Learning in Chemistry and Drug Discovery Starter Pack!
November 29, 2024 at 8:11 PM
Join the Cheminformatics, Machine Learning in Chemistry and Drug Discovery Starter Pack!
Reposted by Alex Soares
Since all my Twitter content is now gone, I will start reposting some of it here. Here are the slides for my talk on the coming wave of ML-accelerated formal methods, given at the Isaac Newton Institute last month. May interest some of you.
drive.google.com/file/d/1ybQx...
drive.google.com/file/d/1ybQx...
November 29, 2024 at 2:37 PM
Since all my Twitter content is now gone, I will start reposting some of it here. Here are the slides for my talk on the coming wave of ML-accelerated formal methods, given at the Isaac Newton Institute last month. May interest some of you.
drive.google.com/file/d/1ybQx...
drive.google.com/file/d/1ybQx...
Reposted by Alex Soares
Our new study shows that SARS-CoV-2 spike protein accumulates & persists in the body for years after infection, especially in the skull-meninges-brain axis, potentially driving long COVID. mRNA vaccines help but cannot stop it🔬🧠🦠🧵Your weekend read👇
@cellpress.bsky.social
cell.com/cell-host-mi...
@cellpress.bsky.social
cell.com/cell-host-mi...
November 29, 2024 at 4:01 PM
Our new study shows that SARS-CoV-2 spike protein accumulates & persists in the body for years after infection, especially in the skull-meninges-brain axis, potentially driving long COVID. mRNA vaccines help but cannot stop it🔬🧠🦠🧵Your weekend read👇
@cellpress.bsky.social
cell.com/cell-host-mi...
@cellpress.bsky.social
cell.com/cell-host-mi...
Reposted by Alex Soares
I collected some folk knowledge for RL and stuck them in my lecture slides a couple weeks back: web.mit.edu/6.7920/www/l... See Appendix B... sorry, I know, appendix of a lecture slide deck is not the best for discovery. Suggestions very welcome.
web.mit.edu
November 27, 2024 at 1:36 PM
I collected some folk knowledge for RL and stuck them in my lecture slides a couple weeks back: web.mit.edu/6.7920/www/l... See Appendix B... sorry, I know, appendix of a lecture slide deck is not the best for discovery. Suggestions very welcome.
Reposted by Alex Soares
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
November 27, 2024 at 9:00 AM
Anne Gagneux, Ségolène Martin, @quentinbertrand.bsky.social Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/conditional-... with lots of illustrations and intuition!
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
Reposted by Alex Soares
Want to learn / teach RL?
Check out new book draft:
Reinforcement Learning - Foundations sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
Check out new book draft:
Reinforcement Learning - Foundations sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
November 25, 2024 at 12:08 PM
Want to learn / teach RL?
Check out new book draft:
Reinforcement Learning - Foundations sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
Check out new book draft:
Reinforcement Learning - Foundations sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.
Reposted by Alex Soares
"The ultimate guide to Haskell Strings" by Julian Ospald (hasufell)
hasufell.github.io/posts/2024-0...
#Haskell
hasufell.github.io/posts/2024-0...
#Haskell
The ultimate guide to Haskell Strings · Hasufell's blog
hasufell.github.io
November 26, 2024 at 10:34 PM
"The ultimate guide to Haskell Strings" by Julian Ospald (hasufell)
hasufell.github.io/posts/2024-0...
#Haskell
hasufell.github.io/posts/2024-0...
#Haskell
Reposted by Alex Soares
Just realized BlueSky allows sharing valuable stuff cause it doesn't punish links. 🤩
Let's start with "What are embeddings" by @vickiboykis.com
The book is a great summary of embeddings, from history to modern approaches.
The best part: it's free.
Link: vickiboykis.com/what_are_emb...
Let's start with "What are embeddings" by @vickiboykis.com
The book is a great summary of embeddings, from history to modern approaches.
The best part: it's free.
Link: vickiboykis.com/what_are_emb...
November 22, 2024 at 11:13 AM
Just realized BlueSky allows sharing valuable stuff cause it doesn't punish links. 🤩
Let's start with "What are embeddings" by @vickiboykis.com
The book is a great summary of embeddings, from history to modern approaches.
The best part: it's free.
Link: vickiboykis.com/what_are_emb...
Let's start with "What are embeddings" by @vickiboykis.com
The book is a great summary of embeddings, from history to modern approaches.
The best part: it's free.
Link: vickiboykis.com/what_are_emb...
Reposted by Alex Soares
Interested in machine learning in science?
Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness.
The best part is that you can read it for free: ml-science-book.com
Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness.
The best part is that you can read it for free: ml-science-book.com
November 15, 2024 at 9:46 AM
Interested in machine learning in science?
Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness.
The best part is that you can read it for free: ml-science-book.com
Timo and I recently published a book, and even if you are not a scientist, you'll find useful overviews of topics like causality and robustness.
The best part is that you can read it for free: ml-science-book.com
Reposted by Alex Soares
In addition to the Deep Learning Theory starter pack, I've also put together a starter pack for Reinforcement Learning Theory. Let me know if you'd like to be included or suggest someone to add to the list!
go.bsky.app/LWyGAAu
go.bsky.app/LWyGAAu
November 22, 2024 at 9:56 PM
In addition to the Deep Learning Theory starter pack, I've also put together a starter pack for Reinforcement Learning Theory. Let me know if you'd like to be included or suggest someone to add to the list!
go.bsky.app/LWyGAAu
go.bsky.app/LWyGAAu
Reposted by Alex Soares
FOLKS! I continue to update and maintain what is the best (the best!) AI Starter Pack by a country mile (and it's getting better all the time!)
November 26, 2024 at 2:22 AM
FOLKS! I continue to update and maintain what is the best (the best!) AI Starter Pack by a country mile (and it's getting better all the time!)
Reposted by Alex Soares
A good resource for Deep Learning in Graphs : yaoma24.github.io/dlg_book/dlg...
from Yao Ma and Jiliang Tang
#deeplearning #graphicalnn
from Yao Ma and Jiliang Tang
#deeplearning #graphicalnn
yaoma24.github.io
November 23, 2024 at 3:59 PM
A good resource for Deep Learning in Graphs : yaoma24.github.io/dlg_book/dlg...
from Yao Ma and Jiliang Tang
#deeplearning #graphicalnn
from Yao Ma and Jiliang Tang
#deeplearning #graphicalnn
Reposted by Alex Soares
The #DeepLearning bible. HIGHLY recommended!
My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
November 26, 2024 at 12:11 PM
The #DeepLearning bible. HIGHLY recommended!
Reposted by Alex Soares
They shows how we can train LLMs with value-based RL for multi-turn tasks *just by turning probabilities into Q-values*! This provides an algorithm that can be used for LLMs, VLMs, robotics tasks, etc. with one simple loss function.
November 26, 2024 at 6:54 AM
They shows how we can train LLMs with value-based RL for multi-turn tasks *just by turning probabilities into Q-values*! This provides an algorithm that can be used for LLMs, VLMs, robotics tasks, etc. with one simple loss function.
Reposted by Alex Soares
November 26, 2024 at 1:58 PM