Pranjal Garg
@neurogarg.bsky.social
Neuroscience + AI/ML enthusiast. Obsessed with emergence. Med school dropout. Research Intern @ MPI-BI. Self-learning math.
Reposted by Pranjal Garg
Does your research involve comparing experimental conditions? Then our latest publication is for you: We developed generalized contrastive PCA (gcPCA), a tool for comparing high-dimensional datasets. 🧠📊 doi.org/10.1371/journal.pcbi.1012747
This tool was born out of necessity, here is the story. 🧵
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This tool was born out of necessity, here is the story. 🧵
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April 18, 2025 at 12:44 PM
Does your research involve comparing experimental conditions? Then our latest publication is for you: We developed generalized contrastive PCA (gcPCA), a tool for comparing high-dimensional datasets. 🧠📊 doi.org/10.1371/journal.pcbi.1012747
This tool was born out of necessity, here is the story. 🧵
1/
This tool was born out of necessity, here is the story. 🧵
1/
Reposted by Pranjal Garg
Have you heard about the Munich Neuroscience Lectures? With invited experts from various fields, the joint event in Martinsried is a must for all neuroscience enthusiasts! Check out the 2025 program: www.bi.mpg.de/munichneuros...
@bmc-lmu.bsky.social
@bmc-lmu.bsky.social
January 7, 2025 at 3:46 PM
Have you heard about the Munich Neuroscience Lectures? With invited experts from various fields, the joint event in Martinsried is a must for all neuroscience enthusiasts! Check out the 2025 program: www.bi.mpg.de/munichneuros...
@bmc-lmu.bsky.social
@bmc-lmu.bsky.social
Reposted by Pranjal Garg
For the theoretical side, there’s no better resource than the 2024 book by Blondel and Roulet:
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
The Elements of Differentiable Programming
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable p...
arxiv.org
November 26, 2024 at 6:05 AM
For the theoretical side, there’s no better resource than the 2024 book by Blondel and Roulet:
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...