Nanda H Krishna

@nandahkrishna

PhD student at @Mila_Quebec & @UMontreal, @MacHomebrew maintainer.

Chennai & Montréal

nandahkrishna.com

Joined May 2016

41Posts 508Followers 2KFollowing

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Pinned

Nanda H Krishna

@nandahkrishna

Jun 6

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

nandahkrishna's tweet image. 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

Nanda H Krishna reposted

Divyat Mahajan

@divyat09

Oct 29

[1/9] While pretraining data might be hitting a wall, novel methods for modeling it are just getting started! We introduce future summary prediction (FSP), where the model predicts future sequence embeddings to reduce teacher forcing & shortcut learning. 📌Predict a learned…

Nanda H Krishna reposted

Mila - Institut québécois d'IA

@Mila_Quebec

Oct 15

Mila's annual supervision request process is now open to receive MSc and PhD applications for Fall 2026 admission! For more information, visit mila.quebec/en/prospective…

Mila_Quebec's tweet image. Mila's annual supervision request process is now open to receive MSc and PhD applications for Fall 2026 admission! For more information, visit mila.quebec/en/prospective…

Nanda H Krishna reposted

Vineet Jain

@thevineetjain

Sep 27

Qwen3-4B can match DeepSeek-R1 and o3-mini (high) with ONLY test-time scaling?🤯 Introducing Recursive Self-Aggregation (RSA), a new test-time scaling method: - parallel + sequential✅ - no verifiers✅ - no scaffolding✅ Then we use aggregation-aware RL to push further!🚀 🧵👇

thevineetjain's tweet image. Qwen3-4B can match DeepSeek-R1 and o3-mini (high) with ONLY test-time scaling?🤯

Introducing Recursive Self-Aggregation (RSA), a new test-time scaling method:
- parallel + sequential✅
- no verifiers✅
- no scaffolding✅

Then we use aggregation-aware RL to push further!🚀
🧵👇

Nanda H Krishna reposted

Avery Ryoo

@averyryoo

Sep 19

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! 🧪🧬🧠

Avery Ryoo

@averyryoo

Jun 6

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!

Nanda H Krishna reposted

Aniket Didolkar

@Aniket_d98

Sep 17

🚨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…

Nanda H Krishna reposted

Mehdi Azabou

@mehdiazabou

Sep 11

🚨 The call for demos is still open, the deadline is tomorrow! If you have a tool for visualizing large-scale data, pipelines for training foundation models, or BCI demos, we want to see it! Submission is only 500 words, and it's a great opportunity to showcase your work.

Mehdi Azabou

@mehdiazabou

Jul 11

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 👉 brainbodyfm-workshop.github.io

mehdiazabou's tweet image. 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 👉 brainbodyfm-workshop.github.io

Nanda H Krishna reposted

Mehdi Azabou

@mehdiazabou

Aug 20

🚨 We are extending the paper submission deadline to Friday, August 29, 11:59 pm AoE. Check our website for the latest updates on the Foundation Models for the Brain and Body workshop #NeurIPS2025 #BrainBodyFM

Mehdi Azabou

@mehdiazabou

Jul 11

Nanda H Krishna

@nandahkrishna

Jul 11

Excited to be organising the BrainBodyFM Workshop – in spirit, a successor to our #COSYNE Workshop on Neuro-foundation Models – at #NeurIPS2025! Check out the website for more details. 🧠🤖

Mehdi Azabou

@mehdiazabou

Jul 11

Nanda H Krishna reposted

Vineet Jain

@thevineetjain

Jul 1

How to align your diffusion model with unseen objectives at inference time? Presenting Diffusion Tree Sampling/Search (DTS/DTS*) 🥳 Using MCTS-style search, DTS steadily improves sample quality with compute, matching the best baseline with 5× less compute!

Nanda H Krishna reposted

Dane Malenfant

@dvnxmvl_hdf5

Jun 5

Preprint Alert 🚀 Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always true. Example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan. 1/8

dvnxmvl_hdf5's tweet image. Preprint Alert 🚀
Multi-agent reinforcement learning (MARL) often assumes that agents know when other agents cooperate with them. But for humans, this isn’t always true. Example, plains indigenous groups used to leave resources for others to use at effigies called Manitokan.
1/8

Nanda H Krishna reposted

Mehdi Azabou

@mehdiazabou

Apr 5

The recordings from the 🌐🧠 Neuro Foundation Model workshop are up on the workshop website! Thanks again to our speakers, and everyone who attended. And thanks to the entire team @cole_hurwitz, @nandahkrishna, @averyryoo, @evadyer and @tyrell_turing for making this happen 🙌

Mehdi Azabou

@mehdiazabou

Mar 10

How can large-scale models + datasets revolutionize neuroscience 🧠🤖🌐? We are excited to announce our workshop: “Building a foundation model for the brain: datasets, theory, and models” at @CosyneMeeting #COSYNE2025. Join us in Mont-Tremblant, Canada from March 31 - April 1.