@MainakDeb19

computer/human vision, phd student @GeorgiaTech

mainakdeb.github.io/
Joined August 2020
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  • Following648
  • Followers340
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Unlike the brain, most ANNs lack any kind of organization of units🧠 In our paper (ICLR 2025) with @mayukh091 @apurvaratan, we present TopoLoss, a simple, scalable way to add brain-like topography to AI models with minimal performance loss🧵 toponets.github.io
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Making apps I wish existed, episode 1 Bluetooth signal strength in real-time for iOS
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no wrestling with obscure AWS cli commands, no massive figshare zip files, zero pain fMRI dataset that takes <5 min to get running pip install mosaic-dataset
mayukh09@mayukh0914 Dec 2025
🧠Excited to share MOSAIC: a unified fMRI mega-dataset: 430k+ trials, 160k stimuli, 93 subjects (and more to come!) all in a single brain space Enables massive scale for modeling the visual cortex with just 2 lines of code github.com/murtylab/mosaic-d… 🐍pip install mosaic-dataset
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Don't burn up your retina for science, mainakdeb.github.io/just-dar… no bs dark-mode for papers, PDFs, and most websites. free, no install/download required :)
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What if different parts of a neural network were forced to learn different aspects of the input? They start showing specialized regions like the brain Listen to @MainakDeb19 talk about an architecture that got him an ICLR 2024 spotlight! New talk from @lossfunk!
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Mainak Deb retweeted
mayukh09@mayukh09130 Mar 2025
My work got featured in @TEDAIVienna👀 AtMan (NeurIPS 2023) explains LLM outputs, telling you which part of the context was critical. ted.com/talks/jonas_andrulis… neurips.cc/virtual/2023/post…
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🤠Thanks to @neuranna, @NeuroTaha, @alishdipani, and everyone at MurtyLab. murtylab.com

The Murty Lab | Georgia Tech

murtylab.com | The Vision Cognition Computation (Murty) Lab at Georgia Tech aims to understand the neural basis of how we see and reason with the world. The scientific goal of the lab is to obtain a...

murtylab.com
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Checkpoints released on @huggingface🤗 check: github.com/toponets/toponets

toponets/toponets

pre-trained topographic models. Contribute to toponets/toponets development by creating an account on GitHub.

github.com
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Artificial neural networks can predict neural responses of the human brain (fMRI), however, they are vulnerable to small-scale adversarial attacks imperceptible to humans 🤖🧠 In our study with @nikolasmcneal @apurvaratan accepted at Neurips 2024 Unireps workshop, we find 👇
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👾Sparse model-to-brain mappings improve resistance to attacks.
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👀 Read the full paper here: openreview.net/forum?id=1g7H…
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🚀At @NeurIPSConf tomorrow? Don't miss @nikolasmcneal and @MainakDeb19 's poster at the @unireps workshop on the adversarial sensitivity of vision encoding models of fMRI responses! A brief teaser about what they find.
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I'll be joining @artflow_ai as an intern 🚀 @artflow_ai lets users generate visual content using #AI, exciting stuff! 🖌️🤖🎨 give it a try 👀 -> artflow.ai/
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🔧Using @OpenAI's CLIP to guide @zzznah's Neural Cellular Automata 👃Noses, generated using the text prompt “nose”
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🤿"Underwater Bioluminescence"
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🧠CLIP-Guided Neural CA using @PyTorch @zzznah said: "I find it amazing that the way NCAs turn static images into videos often matches the natural dynamics of the source" 🤖Prompts: Left - "The Northern Lights" Right - "Meteor Shower" 🤔stars in the background?
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🔭“The Lunar surface” and “The Martian surface” (Low res, I use @GoogleColab🦥) Github (work in progress) - github.com/Mainakdeb/project…
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