Rahul G. Krishnan
@rahulgk.bsky.social
Assistant Professor at the University of Toronto
⚒️ 🏥 Deep learning and causal inference for computational medicine
⚒️ 🏥 Deep learning and causal inference for computational medicine
Reposted by Rahul G. Krishnan
🚨 Introducing CausalPFN, a foundation model trained on simulated data for in-context causal effect estimation, based on prior-fitted networks (PFNs). Joint work with Hamid Kamkari, Layer6AI & @rahulgk.bsky.social 🧵[1/7]
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
June 11, 2025 at 1:13 PM
🚨 Introducing CausalPFN, a foundation model trained on simulated data for in-context causal effect estimation, based on prior-fitted networks (PFNs). Joint work with Hamid Kamkari, Layer6AI & @rahulgk.bsky.social 🧵[1/7]
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
📝 arxiv.org/abs/2506.07918
🔗 github.com/vdblm/Causal...
🗣️Oral@ICML SIM workshop
My student, Ethan Choi, will be at #ICLR2025 presenting Contextual Finetuning (CFT) and teaching LLMs how to learn (joint work with Muhammad Adil Asif, Ziwen Han, John Willes @vectorinstitute.ai)
🌟Project page: younwoochoi.github.io/cft-iclr/
#239, April 26 10-12:30(Hall3,2B)
🌟Project page: younwoochoi.github.io/cft-iclr/
#239, April 26 10-12:30(Hall3,2B)
https://younwoochoi.github.io/cft-iclr/🚀
April 23, 2025 at 10:44 PM
My student, Ethan Choi, will be at #ICLR2025 presenting Contextual Finetuning (CFT) and teaching LLMs how to learn (joint work with Muhammad Adil Asif, Ziwen Han, John Willes @vectorinstitute.ai)
🌟Project page: younwoochoi.github.io/cft-iclr/
#239, April 26 10-12:30(Hall3,2B)
🌟Project page: younwoochoi.github.io/cft-iclr/
#239, April 26 10-12:30(Hall3,2B)
Reposted by Rahul G. Krishnan
📣T-CAIREM member @rahulgk.bsky.social's presentation is online! From Associational to Causal Predictions with #DeepLearning: An examination of recent advances in bridging the gap between associative #neuralnetworks and causal reasoning.
🎥 www.youtube.com/watch?v=yE6S...
🎥 www.youtube.com/watch?v=yE6S...
Rahul G. Krishnan | From associational to causal predictions with deep learning
YouTube video by Schwartz Reisman Institute
www.youtube.com
February 24, 2025 at 8:01 PM
📣T-CAIREM member @rahulgk.bsky.social's presentation is online! From Associational to Causal Predictions with #DeepLearning: An examination of recent advances in bridging the gap between associative #neuralnetworks and causal reasoning.
🎥 www.youtube.com/watch?v=yE6S...
🎥 www.youtube.com/watch?v=yE6S...
Come by tomorrow to hear about what we have been up to!
🚨 Tomorrow! 🚨
SRI Seminar Series welcomes @rahulgk.bsky.social assistant prof. at the @uoftcompsci.bsky.social. He’s a Canada Research Chair in Computational Medicine and an AI expert at the @vectorinstitute.ai
🗓️ January 29, 2025 | 12:30 - 2:00 PM ET
🔗 www.eventbrite.ca/e/sri-semina...
SRI Seminar Series welcomes @rahulgk.bsky.social assistant prof. at the @uoftcompsci.bsky.social. He’s a Canada Research Chair in Computational Medicine and an AI expert at the @vectorinstitute.ai
🗓️ January 29, 2025 | 12:30 - 2:00 PM ET
🔗 www.eventbrite.ca/e/sri-semina...
January 28, 2025 at 5:52 PM
Come by tomorrow to hear about what we have been up to!
o3 is incredible!
Since we've maxed out scale and $$$ on scaling inference-time compute I hope we now get back to thinking about the right combination of neural nets and algorithm to performant models cheaper, faster, and more reliably.
Since we've maxed out scale and $$$ on scaling inference-time compute I hope we now get back to thinking about the right combination of neural nets and algorithm to performant models cheaper, faster, and more reliably.
December 21, 2024 at 9:03 PM
o3 is incredible!
Since we've maxed out scale and $$$ on scaling inference-time compute I hope we now get back to thinking about the right combination of neural nets and algorithm to performant models cheaper, faster, and more reliably.
Since we've maxed out scale and $$$ on scaling inference-time compute I hope we now get back to thinking about the right combination of neural nets and algorithm to performant models cheaper, faster, and more reliably.
Reposted by Rahul G. Krishnan
1/6
Presenting "Unlearning Tabular Data without a 'Forget Set'"! We explore a new unlearning algorithm RELOAD in tabular learning. Drop by @neuripsconf.bsky.social Workshop on Table Representation Learning (@trl-research.bsky.social):
- SAT 14 Dec from 2:30pm-3:15pm!
- East Meeting Room 11-12
Presenting "Unlearning Tabular Data without a 'Forget Set'"! We explore a new unlearning algorithm RELOAD in tabular learning. Drop by @neuripsconf.bsky.social Workshop on Table Representation Learning (@trl-research.bsky.social):
- SAT 14 Dec from 2:30pm-3:15pm!
- East Meeting Room 11-12
December 14, 2024 at 10:00 PM
1/6
Presenting "Unlearning Tabular Data without a 'Forget Set'"! We explore a new unlearning algorithm RELOAD in tabular learning. Drop by @neuripsconf.bsky.social Workshop on Table Representation Learning (@trl-research.bsky.social):
- SAT 14 Dec from 2:30pm-3:15pm!
- East Meeting Room 11-12
Presenting "Unlearning Tabular Data without a 'Forget Set'"! We explore a new unlearning algorithm RELOAD in tabular learning. Drop by @neuripsconf.bsky.social Workshop on Table Representation Learning (@trl-research.bsky.social):
- SAT 14 Dec from 2:30pm-3:15pm!
- East Meeting Room 11-12
Come by our poster today to learn about decision making under unobserved confounding!
How can we use offline expert data with unobserved confounding to guide exploration in RL? Our approach is to learn prior distributions from expert data and follow posterior sampling
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)
Come to our poster #NeurIPS2024 today to learn more!
🗓️ Thu 12 Dec 4:30 - 7 pm PST
📍 West Ballroom A-D #6708
(1/5)
December 12, 2024 at 4:35 PM
Come by our poster today to learn about decision making under unobserved confounding!
First post! I’ll be at @NeurIPSConf #NeurIPS2024 until Sunday. I'd love to chat about causality for medicine & science.
I'm also looking for a postdoc interested in experimental design for medicine, if that's you, send me a message.
I'll be presenting two papers at the main conference.
🧵(1/7)
I'm also looking for a postdoc interested in experimental design for medicine, if that's you, send me a message.
I'll be presenting two papers at the main conference.
🧵(1/7)
December 11, 2024 at 12:20 AM
First post! I’ll be at @NeurIPSConf #NeurIPS2024 until Sunday. I'd love to chat about causality for medicine & science.
I'm also looking for a postdoc interested in experimental design for medicine, if that's you, send me a message.
I'll be presenting two papers at the main conference.
🧵(1/7)
I'm also looking for a postdoc interested in experimental design for medicine, if that's you, send me a message.
I'll be presenting two papers at the main conference.
🧵(1/7)