Ivan Felipe Rodriguez
@ivanpipe.bsky.social
Phd Student at Brown University.
Here at #Neurips2024 ! Presenting our work:
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. Please reach out if you want to learn more !
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. Please reach out if you want to learn more !
December 10, 2024 at 9:36 PM
Here at #Neurips2024 ! Presenting our work:
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. Please reach out if you want to learn more !
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. Please reach out if you want to learn more !
Reposted by Ivan Felipe Rodriguez
🌟 New Research Alert! 🌟
Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @takuito.bsky.social and @bashivan.bsky.social
#tweeprint below:
Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @takuito.bsky.social and @bashivan.bsky.social
#tweeprint below:
November 28, 2024 at 4:41 PM
🌟 New Research Alert! 🌟
Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @takuito.bsky.social and @bashivan.bsky.social
#tweeprint below:
Excited to share our latest work (accepted to NeurIPS2024) on understanding working memory in multi-task RNN models using naturalistic stimuli!: with @takuito.bsky.social and @bashivan.bsky.social
#tweeprint below:
Reposted by Ivan Felipe Rodriguez
My lab has been working on comparing neural representations for the past few years - methods like RSA, CKA, CCA, Procrustes distance
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197
November 18, 2024 at 6:18 PM
My lab has been working on comparing neural representations for the past few years - methods like RSA, CKA, CCA, Procrustes distance
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197
We are often asked: What do these things tell us about the system's function? How do they relate to decoding?
Our new paper has some answers arxiv.org/abs/2411.08197
Reposted by Ivan Felipe Rodriguez
A fun thesis experiment: ResNet, DETR, and CLIP tackle Saint-Bernards. 🐶
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
November 27, 2024 at 6:51 PM
A fun thesis experiment: ResNet, DETR, and CLIP tackle Saint-Bernards. 🐶
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
ResNet focused on **fur** patterns, DETR too but also use **paws** (possibly because it helps define bounding boxes), and CLIP **head** concept oddly included human heads — language shaping learned concepts?
Reposted by Ivan Felipe Rodriguez
This study shows that spike sequences carry information beyond what rates and latency to first spike do:
www.nature.com/articles/s41...
My reactions:
1) Cool to see this in humans.
2) Are people still surprised that spike times carry information beyond rates/first-spike latency?!?!?!
🧠📈 🧪
www.nature.com/articles/s41...
My reactions:
1) Cool to see this in humans.
2) Are people still surprised that spike times carry information beyond rates/first-spike latency?!?!?!
🧠📈 🧪
Neuronal sequences in population bursts encode information in human cortex - Nature
The temporal order of neuronal firing within bursts of population spiking in the human anterior temporal lobe is dependent on the category as well as the identity of the individual stimulus, and this ...
www.nature.com
November 28, 2024 at 4:55 PM
This study shows that spike sequences carry information beyond what rates and latency to first spike do:
www.nature.com/articles/s41...
My reactions:
1) Cool to see this in humans.
2) Are people still surprised that spike times carry information beyond rates/first-spike latency?!?!?!
🧠📈 🧪
www.nature.com/articles/s41...
My reactions:
1) Cool to see this in humans.
2) Are people still surprised that spike times carry information beyond rates/first-spike latency?!?!?!
🧠📈 🧪
Reposted by Ivan Felipe Rodriguez
We've been holding a weekly Computer Vision & Machine Learning reading group at Janelia since 2014, and we started a blog about some of the papers we're reading and recommend. Here's our first post about FourCastNet, an ML algorithm for weather forecasting
janelia-cvml.github.io/blog/posts/F...
janelia-cvml.github.io/blog/posts/F...
FourCastNet – Janelia CVML
Weather forecasting with Adaptive Fourier Neural Operators
janelia-cvml.github.io
November 24, 2024 at 1:57 PM
We've been holding a weekly Computer Vision & Machine Learning reading group at Janelia since 2014, and we started a blog about some of the papers we're reading and recommend. Here's our first post about FourCastNet, an ML algorithm for weather forecasting
janelia-cvml.github.io/blog/posts/F...
janelia-cvml.github.io/blog/posts/F...
Reposted by Ivan Felipe Rodriguez
My favorite slides -- as someone doing ML with an academic lab, it is pretty mind-boggling how huge spending is. It puts HHMI's $500M / 10 years commitment to AI funding in perspective...
November 27, 2024 at 2:52 PM
My favorite slides -- as someone doing ML with an academic lab, it is pretty mind-boggling how huge spending is. It puts HHMI's $500M / 10 years commitment to AI funding in perspective...