Muawiz Chaudhary
@muawizc.bsky.social
84 followers 200 following 9 posts
Mila I do work in Computer Vision, Science For Deep Learning Lookin to go to grad school
Posts Media Videos Starter Packs
Reposted by Muawiz Chaudhary
florentinguth.bsky.social
🌈 I'll be presenting our JMLR paper "A rainbow in deep network black boxes" today at 3pm at @iclr-conf.bsky.social!
Come to poster #334 if you're interested, I'll be happy to chat
More details in the threads on the other website: x.com/FlorentinGut...
x.com
Reposted by Muawiz Chaudhary
vincentmai.bsky.social
Having a lot of fun presenting our work with Hadi on RL for microgrid optimization with industrial constraints at Climate Change AI workshop at NeurIPS!

If you are at NeurIPS, come and visit us during the poster session :)

@hnekoei.bsky.social
@climatechangeai.bsky.social
Reposted by Muawiz Chaudhary
mila-quebec.bsky.social
Discover the Evaluating Evaluations: Examining Best Practices for Measuring Broader Impacts of Generative AI workshop, co-organized by Mila student @mchll-ln.bsky.social at @neuripsconf.bsky.social, East Meeting Room 16.
Reposted by Muawiz Chaudhary
mirandrom.bsky.social
📢 New paper “Language model scaling laws and zero-sum learning” at Sci4DL #neurips2024.

ℹ️ openreview.net/forum?id=yBq2g832Go TL;DR: scaling improves LMs by mitigating zero-sum learning, a mechanism that could be targeted directly and independent of scale.

West 205-207 4:30-5:30 PM

🧵 (1/12)
muawizc.bsky.social
this talk by @suryaganguli.bsky.social at #Sci4DL is makin me think I should have applied for Applied Physics PhDs instead of Comp Sci PhDs.
suryaganguli.bsky.social
Speaking at this #NeurIPS2024 workshop on a new analytic theory of creativity in diffusion models that predicts what new images they will create and explains how these images are constructed as patch mosaics of the training data. Great work by @masonkamb.bsky.social
scienceofdlworkshop.github.io
SciForDL'24
scienceofdlworkshop.github.io
muawizc.bsky.social
My collaborators (Vivian White, @kamdh.bsky.social) will be presenting our work at the #Sci4DL workshop at #NeurIPS2024 today.

Location: West Meeting Room 205-207
Time: 4:30-5:30 PM

We present a principled probability distribution model of pre-trained deep neural networks. Check it out!
muawizc.bsky.social
Check out also our work which investigates holding the initialization of a convolution fixed while learning a structured covariance part.

Our 2nd paper uses this to sample trained DNNs and investigate eigenvalue distributions.

openreview.net/forum?id=bvJ...
openreview.net/forum?id=vWh...
Learning Stochastic Rainbow Networks
Random feature models are a popular approach for studying network learning that can capture important behaviors while remaining simpler than traditional training. Guth et al. [2024] introduced...
openreview.net
muawizc.bsky.social
A similar result is found in "A Rainbow in Deep Network Black Boxes". The initialization of networks stays the same over training and whats learned is the covariance. See figure 10 and pages 33-36. arxiv.org/pdf/2305.18512 @florentinguth.bsky.social
arxiv.org
Reposted by Muawiz Chaudhary
aduvalinho.bsky.social
⚛️🤗 Announcing LeMaterial ⚛️🤗

@hf.co & @entalpic.bsky.social are teaming up to release LeMaterial -- an open source initiative aiming to facilitate (AI for) materials discovery !

Datasets, hash function, tools to explore the chemical space & more !

huggingface.co/blog/lemater...
LeMaterial: an open source initiative to accelerate materials discovery and research
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
muawizc.bsky.social
I want my grad school apps to be done with and go back to focusing on research.
Reposted by Muawiz Chaudhary
hyperpotatoneo.bsky.social
As AI researchers, we shouldn’t demonize people outside our space who have a passionate distaste for AI. You have to understand that most of the pro-AI sentiment people see online comes from absolutely vile “AI-bros”, especially on twitter. We just need to distinguish ourselves as academics.
muawizc.bsky.social
I'd like to be added :)
muawizc.bsky.social
always happy to chat about this work
muawizc.bsky.social
If your interested in what I've been working on the past year, heres a talk by @kamdh.bsky.social my senior collaborator discussing our progress in the rainbow hypothesis line of work :)
kamdh.bsky.social
"Learning Stochastic Rainbow Networks"

Well DeepMath was fun! I'm tired, and I admit I was a bit nervous giving this talk in front of such a smart audience.

If you'd like to see a 30 minute talk about what we've been up to lately, here it is
www.youtube.com/live/sY_ZbYH...
YouTube
Share your videos with friends, family, and the world
www.youtube.com