rohan (@rohanbanerjeee) 's Twitter Profile
rohan

@rohanbanerjeee

open-source ai ∩ healthcare @mila_quebec, @polyneuro & foundation models @ICMtl; prev @harvardmed, @srm_univ

ID: 2724294140

linkhttp://rohanbanerjee.netlify.app calendar_today11-08-2014 16:56:49

185 Tweet

683 Takipçi

1,1K Takip Edilen

Arkil Patel (@arkil_patel) 's Twitter Profile Photo

Presenting ✨ 𝐂𝐇𝐀𝐒𝐄: 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐢𝐧𝐠 𝐬𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 ✨ Work w/ fantastic advisors 🇺🇦 Dzmitry Bahdanau and Siva Reddy Thread 🧵:

Presenting ✨ 𝐂𝐇𝐀𝐒𝐄: 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐢𝐧𝐠 𝐬𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 ✨

Work w/ fantastic advisors <a href="/DBahdanau/">🇺🇦 Dzmitry Bahdanau</a> and <a href="/sivareddyg/">Siva Reddy</a>

Thread 🧵:
P Shravan Nayak (@pshravannayak) 's Twitter Profile Photo

🚀 Super excited to announce UI-Vision: the largest and most diverse desktop GUI benchmark for evaluating agents in real-world desktop GUIs in offline settings. 📄 Paper: arxiv.org/abs/2503.15661 🌐 Website: uivision.github.io 🧵 Key takeaways 👇

Arkil Patel (@arkil_patel) 's Twitter Profile Photo

𝐓𝐡𝐨𝐮𝐠𝐡𝐭𝐨𝐥𝐨𝐠𝐲 paper is out! 🔥🐋 We study the reasoning chains of DeepSeek-R1 across a variety of tasks and settings and find several surprising and interesting phenomena! Incredible effort by the entire team! 🌐: mcgill-nlp.github.io/thoughtology/

𝐓𝐡𝐨𝐮𝐠𝐡𝐭𝐨𝐥𝐨𝐠𝐲 paper is out! 🔥🐋

We study the reasoning chains of DeepSeek-R1 across a variety of tasks and settings and find several surprising and interesting phenomena!

Incredible effort by the entire team!

🌐: mcgill-nlp.github.io/thoughtology/
Amirhossein Kazemnejad (@a_kazemnejad) 's Twitter Profile Photo

Introducing nanoAhaMoment: Karpathy-style, single file RL for LLM library (<700 lines) - super hackable - no TRL / Verl, no abstraction💆‍♂️ - Single GPU, full param tuning, 3B LLM - Efficient (R1-zero countdown < 10h) comes with a from-scratch, fully spelled out YT video [1/n]

Introducing nanoAhaMoment: Karpathy-style, single file RL for LLM library (&lt;700 lines)

- super hackable
- no TRL / Verl, no abstraction💆‍♂️
- Single GPU, full param tuning, 3B LLM
- Efficient (R1-zero countdown &lt; 10h)

comes with a from-scratch, fully spelled out YT video [1/n]
Robert Avram (@robertavrammd) 's Twitter Profile Photo

EXCITED To share our publication on the clinical Deployment of Real-Time LVEF estimation during coronary angiogram in NEJM AI ! CathEF, a deep learning model integrated into PACS-AI (pacsai.co), estimates left ventricular ejection fraction (LVEF) in real time from

Hafez Ghaemi (@hafezghm) 's Twitter Profile Photo

🚨 Preprint Alert 🚀 📄 seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models arxiv.org/abs/2505.03176 Can we simultaneously learn both transformation-invariant and transformation-equivariant representations with self-supervised learning (SSL)?

LawZero - LoiZéro (@lawzero_) 's Twitter Profile Photo

Every frontier AI system should be grounded in a core commitment: to protect human joy and endeavour. Today, we launch LawZero - LoiZéro, a nonprofit dedicated to advancing safe-by-design AI. lawzero.org

Nanda H Krishna (@nandahkrishna) 's Twitter Profile Photo

New preprint! 🧠🤖 How do we build neural decoders that are: ⚡️ fast enough for real-time use 🎯 accurate across diverse tasks 🌍 generalizable to new sessions, subjects, and species? We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes! 🧵1/7

New preprint! 🧠🤖
How do we build neural decoders that are:
⚡️ fast enough for real-time use
🎯 accurate across diverse tasks
🌍 generalizable to new sessions, subjects, and species?
We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes!
🧵1/7
Robert Avram (@robertavrammd) 's Twitter Profile Photo

Always a computer science nerd at heart — grateful to put it to good use helping people and making a real difference in medicine. Thank you to the Fondation de l’Institut de Cardiologie de Montréal ICMtl for the feature and support. fondationicm.org/en/blog/ai-imp…

Robert Avram (@robertavrammd) 's Twitter Profile Photo

🧠 Working on a radiology or cardiology AI model? Bring YOUR model to PACS-AI. We’re building an open-source platform to run CV models directly in clinical imaging workflows. 🚀 Featured in CIFAR Reach → cifar.ca/wp-content/upl… 📬 DM me for Slack access 🔓 Open release this

🧠 Working on a radiology or cardiology AI model? Bring YOUR model to PACS-AI.
We’re building an open-source platform to run CV models directly in clinical imaging workflows.

🚀 Featured in CIFAR Reach → cifar.ca/wp-content/upl…
📬 DM me for Slack access
🔓 Open release this