pouya bashivan @PouyaBashivan
Proud husband & dad | Assistant Prof @McGillPhysioloG | member @IPNMcGill @MILAMontreal | studying deep artificial/biological neural nets bashivanlab.org Montreal, QC Joined October 2012-
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pouya bashivan retweeted
It was a steep climb in the "early days" (~2012) up the gradient of better ImageNet categorization towards better visual system models. That tapped out around 2015 after ResNet as (frankly) progress in computer vision kind of stalled.... But now with video models starting to…
It was a steep climb in the "early days" (~2012) up the gradient of better ImageNet categorization towards better visual system models. That tapped out around 2015 after ResNet as (frankly) progress in computer vision kind of stalled.... But now with video models starting to… https://t.co/8Q2u0AWW6p
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pouya bashivan retweeted
What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception
What makes visual processing in the brain so powerful and flexible? Very excited to share our new work where we started from SOTA models that accurately predict dynamic brain activity during hours of video watching, and investigated core computations underlying visual perception https://t.co/S2nhafEMYA
pouya bashivan retweeted
🧵 What if two images have the same local parts but represent different global shapes purely through part arrangement? Humans can spot the difference instantly! The question is can vision models do the same? 1/15
Come up north!
🚨New paper 🚨 World models bake knowledge into weights, making them slow to adapt when environments change. We built one that infers from episodic memories instead. Check it out if you are interested in world modeling, episodic memory, spatial reasoning, or all of the above
🚨New paper 🚨 World models bake knowledge into weights, making them slow to adapt when environments change. We built one that infers from episodic memories instead. Check it out if you are interested in world modeling, episodic memory, spatial reasoning, or all of the above
pouya bashivan retweeted
Come to our CCN workshop! Blending iophysical constraints and neural networks. Topographical ANNs + and much more. @meenakshik93 @talia_konkle @PouyaBashivan @nmblauch @TimKietzmann @GwilliamsL @apurvaratan @jakhmack @Pieters_Tweet @martin_schrimpf Andrew Miri Nabil Imam
Come to our CCN workshop! Blending iophysical constraints and neural networks. Topographical ANNs + and much more. @meenakshik93 @talia_konkle @PouyaBashivan @nmblauch @TimKietzmann @GwilliamsL @apurvaratan @jakhmack @Pieters_Tweet @martin_schrimpf Andrew Miri Nabil Imam
Come by @great_caster poster if you are at #ICLR2025 and interested in topographical neural networks! When📅: Friday, April 25 from 10:00 AM to 12:30 PM Where: Hall 3 + Hall 2B #60
Come by @great_caster poster if you are at #ICLR2025 and interested in topographical neural networks! When📅: Friday, April 25 from 10:00 AM to 12:30 PM Where: Hall 3 + Hall 2B #60
At #COSYNE2025 ? Come by @MotaharehPR 's poster at 1pm [2-089] if you like to know about how cool her NN model of visual search is! Trained de novo on visual search, its fast, efficient, mimics human behaviour, and has a beautiful neural geometry.
pouya bashivan retweeted
Looking to hire a student researcher to work on cool project for 6 months in DeepMind Montreal. Reqs: - Full-time masters/PhD student 🧑🏾🎓 - Substantial expertise in multi-agent RL, ideally including publication(s) 🤖🤖 - Strong Python coding skills 🐍 This you? Get in touch!
pouya bashivan retweeted
Very troubling. I believe the U.S. has just ruled itself out as a reasonable destination for scientific conferences. @NeurIPSConf @icmlconf @iclr_conf @ylecun
Very troubling. I believe the U.S. has just ruled itself out as a reasonable destination for scientific conferences. @NeurIPSConf @icmlconf @iclr_conf @ylecun
Check out our latest work (and the tweeprint), Credit-based SOMs for training topographical deep nets! Very proud of this work led by the first undergraduate in my lab! Great job @great_caster
Check out our latest work (and the tweeprint), Credit-based SOMs for training topographical deep nets! Very proud of this work led by the first undergraduate in my lab! Great job @great_caster
If you’re at NeurIPS, Check out @xiaoxuan_lei poster on representational geometry in RNN models of working memory using natural sensory inputs!
If you’re at NeurIPS, Check out @xiaoxuan_lei poster on representational geometry in RNN models of working memory using natural sensory inputs!
pouya bashivan retweeted
This is a great opportunity to secure funding for postdoc. My lab has a few research directions that align with the IVADO initiative: "Shifting Paradigms for a Robust, Reasoning, and Responsible Artificial Intelligence and its Adoption". Reach out if you’re interested!
This is a great opportunity to secure funding for postdoc. My lab has a few research directions that align with the IVADO initiative: "Shifting Paradigms for a Robust, Reasoning, and Responsible Artificial Intelligence and its Adoption". Reach out if you’re interested!
pouya bashivan retweeted
Interesting analysis on the impact of open LLMs.
Interesting analysis on the impact of open LLMs.
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