Mirza Khan
@mirzask.bsky.social
Reposted by Mirza Khan
Tough to compete with this
December 18, 2024 at 11:55 PM
Tough to compete with this
Reposted by Mirza Khan
The issue with many deployed ML inference engines is that people often can't explicitly define what they want it to do but expect it to always do the right thing.
This reminds me of my first job, straight out of college. I worked as a Junior DS at a fintech startup in SEA.
This reminds me of my first job, straight out of college. I worked as a Junior DS at a fintech startup in SEA.
November 30, 2024 at 5:13 PM
The issue with many deployed ML inference engines is that people often can't explicitly define what they want it to do but expect it to always do the right thing.
This reminds me of my first job, straight out of college. I worked as a Junior DS at a fintech startup in SEA.
This reminds me of my first job, straight out of college. I worked as a Junior DS at a fintech startup in SEA.
Reposted by Mirza Khan
congratulations, @ian-goodfellow.bsky.social, for the test-of-time award at @neuripsconf.bsky.social!
this award reminds me of how GAN started with this one email ian sent to the Mila (then Lisa) lab mailing list in May 2014. super insightful and amazing execution!
this award reminds me of how GAN started with this one email ian sent to the Mila (then Lisa) lab mailing list in May 2014. super insightful and amazing execution!
November 27, 2024 at 6:31 PM
congratulations, @ian-goodfellow.bsky.social, for the test-of-time award at @neuripsconf.bsky.social!
this award reminds me of how GAN started with this one email ian sent to the Mila (then Lisa) lab mailing list in May 2014. super insightful and amazing execution!
this award reminds me of how GAN started with this one email ian sent to the Mila (then Lisa) lab mailing list in May 2014. super insightful and amazing execution!
Reposted by Mirza Khan
Reposted by Mirza Khan
Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed.
arxiv.org/abs/2411.04118
arxiv.org/abs/2411.04118
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs) via continued pret...
arxiv.org
November 26, 2024 at 6:12 PM
Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed.
arxiv.org/abs/2411.04118
arxiv.org/abs/2411.04118
Reposted by Mirza Khan
Academics in their forties
October 25, 2024 at 2:22 PM
Academics in their forties
Reposted by Mirza Khan
R packages using Rust code automatically get tagged with the "rust" topic in r-universe so you can easily find them: r-universe.dev/search?q=top...
November 24, 2024 at 3:56 PM
R packages using Rust code automatically get tagged with the "rust" topic in r-universe so you can easily find them: r-universe.dev/search?q=top...
Reposted by Mirza Khan
Write math on 🦋 with UnicodeIt!
For example: θ ∈ ℝⁿ or pp̅ → μ⁺μ⁻
Use website or install system-wide in Linux, macOS, or windows
www.unicodeit.net
(Created several years ago with @svenkreiss.bsky.social)
For example: θ ∈ ℝⁿ or pp̅ → μ⁺μ⁻
Use website or install system-wide in Linux, macOS, or windows
www.unicodeit.net
(Created several years ago with @svenkreiss.bsky.social)
November 23, 2024 at 9:34 PM
Write math on 🦋 with UnicodeIt!
For example: θ ∈ ℝⁿ or pp̅ → μ⁺μ⁻
Use website or install system-wide in Linux, macOS, or windows
www.unicodeit.net
(Created several years ago with @svenkreiss.bsky.social)
For example: θ ∈ ℝⁿ or pp̅ → μ⁺μ⁻
Use website or install system-wide in Linux, macOS, or windows
www.unicodeit.net
(Created several years ago with @svenkreiss.bsky.social)
Reposted by Mirza Khan
Inside me are two wolves:
November 22, 2024 at 10:33 PM
Inside me are two wolves:
Reposted by Mirza Khan
In order to add some clarity on why the answer is just "use robust SE", here's a simulations that follow Abadie et al.'s paper "When Should You Adjust Standard Errors for Clustering?"
This is pure random assignment of treatment. Cluster SE are way too big, and robust SE are close.
This is pure random assignment of treatment. Cluster SE are way too big, and robust SE are close.
November 22, 2024 at 1:02 AM
In order to add some clarity on why the answer is just "use robust SE", here's a simulations that follow Abadie et al.'s paper "When Should You Adjust Standard Errors for Clustering?"
This is pure random assignment of treatment. Cluster SE are way too big, and robust SE are close.
This is pure random assignment of treatment. Cluster SE are way too big, and robust SE are close.
Reposted by Mirza Khan
Super excited to introduce Halo: A beginner's guide to DIY health tracking with wearables! 🤗✨
Using an $11 smart ring, I'll show you how to build your own private health monitoring app. From basic metrics to advanced features like:
- Activity tracking
- HR monitoring
- Sleep analysis
and more!
Using an $11 smart ring, I'll show you how to build your own private health monitoring app. From basic metrics to advanced features like:
- Activity tracking
- HR monitoring
- Sleep analysis
and more!
November 19, 2024 at 6:59 PM
Super excited to introduce Halo: A beginner's guide to DIY health tracking with wearables! 🤗✨
Using an $11 smart ring, I'll show you how to build your own private health monitoring app. From basic metrics to advanced features like:
- Activity tracking
- HR monitoring
- Sleep analysis
and more!
Using an $11 smart ring, I'll show you how to build your own private health monitoring app. From basic metrics to advanced features like:
- Activity tracking
- HR monitoring
- Sleep analysis
and more!
Reposted by Mirza Khan
NSF makes you say who you got conflicts (coauthored) with. We (really just Jordan Matelsky) just built you a tool for that. Literally one click: bib.experiments.kordinglab.com/nsf-coa
NSF COA | Jordan Matelsky
bib.experiments.kordinglab.com
November 11, 2024 at 8:11 PM
NSF makes you say who you got conflicts (coauthored) with. We (really just Jordan Matelsky) just built you a tool for that. Literally one click: bib.experiments.kordinglab.com/nsf-coa
Reposted by Mirza Khan
Doing good science is 90% finding a science buddy to constantly talk to about the project.
November 9, 2024 at 10:53 PM
Doing good science is 90% finding a science buddy to constantly talk to about the project.
Reposted by Mirza Khan
Presented today at #AHA24 & simultaneously published in JAMA Cardiology
Small mean treatment effects in heart failure trials may still lead to clinically meaningful improvements for a significant proportion of patients. #AHA24
ja.ma/3UOU52T
Small mean treatment effects in heart failure trials may still lead to clinically meaningful improvements for a significant proportion of patients. #AHA24
ja.ma/3UOU52T
Interpreting Population Mean Treatment Effects in the Kansas City Cardiomyopathy Questionnaire
This patient-level meta-analysis of a variety of randomized clinical trials examines the association between mean Kansas City Cardiomyopathy Questionnaire treatment effects and the absolute difference...
ja.ma
November 16, 2024 at 3:00 AM
Presented today at #AHA24 & simultaneously published in JAMA Cardiology
Small mean treatment effects in heart failure trials may still lead to clinically meaningful improvements for a significant proportion of patients. #AHA24
ja.ma/3UOU52T
Small mean treatment effects in heart failure trials may still lead to clinically meaningful improvements for a significant proportion of patients. #AHA24
ja.ma/3UOU52T
Reposted by Mirza Khan
‘AI granny’ scambaiter wastes telephone fraudsters’ time with boring chat
‘AI granny’ scambaiter wastes telephone fraudsters’ time with boring chat
Telephone scams are nothing new, but with the advent of AI, it has become harder than ever for people to know whether the person they’re speaking to is in fact who they say they are. But U.K. mobile network O2 is turning the tables, creating what it calls…
tcrn.ch
November 15, 2024 at 6:12 PM
‘AI granny’ scambaiter wastes telephone fraudsters’ time with boring chat