Super stoked to share my first first-author paper that introduces a hybrid architecture approach for real-time neural decoding. It's been a lot of work, but happy to showcase some very cool results!

turns out everything in my life can be fixed by the blue jays #WANTITALL

Correct. #WANTITALL

BONJOUR! #WANTITALL

Please consider applying! @veds_12 promises to be your friend 🫂

WE'RE GOING TO THE AMERICAN LEAGUE CHAMPIONSHIP SERIES! #WANTITALL

I forgot that people in Montreal do this insane thing where they'll say "go west" and it's actually south

You deserve to hear that Grand Slam in French

EVERY SUPERHERO NEEDS HIS THEME MUSIC 💥 #PLAKATA

NO verifiers. NO Tools. Qwen3-4B-Instruct can match DeepSeek-R1 and o3-mini (high) with ONLY test-time scaling. Presenting Recursive Self-Aggregation (RSA) — the strongest test-time scaling method I know of! Then we use aggregation-aware RL to push further!! 📈📈 🧵below!

Two exciting updates 🚀 1️⃣ POSSM has been accepted to NeurIPS 2025! We'll see you in San Diego 🏖️! 2️⃣ I've officially started my PhD! Very grateful to stay at Mila, and excited to continue working on advancing both deep learning + science! 🧪🧬🧠

🚨Reasoning LLMs are e̵f̵f̵e̵c̵t̵i̵v̵e̵ ̵y̵e̵t̵ inefficient! Large language models (LLMs) now solve multi-step problems by emitting extended chains of thought. During the process, they often re-derive the same intermediate steps across problems, inflating token usage and

@giffmana @tenderizzation They are lying, this is what waterloo looks like (i know cause i applied there)

Cool workshop organized by some close friends at Mila 🔥

cool blog post from an even cooler labmate

🧵 Everyone is chasing new diffusion models—but what about the representations they model from? We introduce Discrete Latent Codes (DLCs): - Discrete representation for diffusion models - Uncond. gen. SOTA FID (1.59 on ImageNet) - Compositional generation - Integrates with LLM 🧱

As #ICML2025 kicks off in Vancouver, our AI talent is being quietly pushed out. 🇨🇦 We've been waiting 28 months for permanent residency, but @CitImmCanada won’t budge. Please read and share our story https://t.co/NkiH483OIh https://t.co/kM2BpfxUyh #IRCC #AI #Immigration #AI

“do not disturb” is a double negative “turb” is much more elegant

Explicit latents or implicit marginalization? at #ICML2025 📌 Tue, 11 am 📍East Exhibition Hall A-B (E-1603) Come check out surprising results on whether explicitly incentivizing learning of correct latents improves generalization over implicitly marginalizing it!

Step 1: Understand how scaling improves LLMs. Step 2: Directly target underlying mechanism. Step 3: Improve LLMs independent of scale. Profit. In our ACL 2025 paper we look at Step 1 in terms of training dynamics. Project: https://t.co/4mkBALoilL Paper: https://t.co/CxBxbuZqgC

Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025!🧠 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 https://t.co/t77lrS2by5