(Nick) Ali Jahanian

research scientist in AI+creativity - creativity-driven AI building for democratizing access to creativity, aesthetics, and design. Views are my own.

[(Nick) Ali Jahanian @Ali_Design_1]

Introducing "GenRep" w/@xavierpuigf,@YonglongT,@phillip_isola
TL;DR: Visual representations can be learned by aligning multiple ‘views’ of training data; we show how GANs can be used to generate these views synthetically, yielding effective visual reps
https://t.co/XjDeIegPgE

[Sophie Wang @SophieLWang]

"The Truth Lies Somewhere in the Middle (of the Generated Tokens)"

In autoregressive language models, mean pooling hidden states across generation yields better representations than any token alone.

project page: https://t.co/kXddYUir4k
w/ @phillip_isola and @thisismyhat

[Shobhita Sundaram @shobsund]

LLMs can learn to self-generate curricula for hard problems that they can't yet solve! Using meta-RL, with rewards grounded in learning progress, models produce their own stepping stones that kickstart learning on hard problems where direct RL plateaus.

Poster at the ICLR RSI workshop today!

[Phillip Isola @phillip_isola]

Sharing “Neural Thickets”. We find:

In large models, the neighborhood around pretrained weights can become dense with task-improving solutions.

In this regime, post-training can be easy; even random guessing works

Paper: https://t.co/qlXEkJHSZa
Web: https://t.co/xYoYctEqHn

1/

[Phillip Isola @phillip_isola]

Our grad-level "Deep Learning" course (MIT's 6.7960) is now freely available online through OpenCourseWare: https://t.co/gnGFbzlINf

Lecture videos, psets, and readings are all provided.

Had a lot of fun teaching this with @sarameghanbeery and @jxbz!

[Ian Goodfellow @goodfellow_ian]

Amazing test of Gemini 3’s multimodal reasoning capabilities: try generating a threejs voxel art scene using only an image as input

Prompt: I have provided an image. Code a beautiful voxel art scene inspired by this image. Write threejs code as a single-page

[Massachusetts Institute of Technology (MIT) @MIT]

Phillip Isola studies how intelligent machines “think” and perceive the world, to ensure AI is safely integrated into human society. “I see all the different kinds of intelligence as having a lot of commonalities, and I’d like to understand those commonalities,” he says. https://t.co/6RFSptdfFb

[Yisong Yue @yisongyue]

Since she's way too shy to post this herself, please join me in congratulating my amazing colleague and friend @klbouman for receiving tenure at @caltech! 🥳🎉

[Amazon Science @AmazonScience]

🎓 Amazon launches AI PhD Fellowship program, providing $68 million over two years to fund PhD students at 9 universities pursuing research in machine learning, computer vision, and natural-language processing. #AmazonAIFellowship https://t.co/B7IvORGu5K

[Xindi Wu @cindy_x_wu]

Andrew Owen’s (@andrewhowens) talk on

Point Prompting: Counterfactual Tracking with Video Diffusion Models

is happening at curated data for efficient learning workshop!

Room: 304A

@cdel_workshop @ICCVConference

[Rohit Prasad @RohitPrasadAI]

Excited to announce @amazon's new AI PhD Fellowship Program supporting 100+ students across 9 universities like Carnegie Mellon, MIT & Stanford. Fellows will be paired with senior scientists working in related fields, plus receive financial support and AWS credits for research. Learn more: https://t.co/KNTcYI83Gm

[Phillip Isola @phillip_isola]

At ICCV: at 11am I will give a talk in room 309 "On the perceptual distance between images and text."

This one will cover CycleReward.

I will share talk slides after.

[(Nick) Ali Jahanian @Ali_Design_1]

@_krishna_murthy @JHUCompSci Congrats Krishna!

[Phillip Isola @phillip_isola]

If you are at ICCV, I'm giving a talk here at 3:30pm in Ballroom B on "Revisiting the symbol grounding problem in the age of multi-modal AI"

Will cover recent work on multimodal rep alignment in unpaired and unimodal models.

[Gaurav Parmar @GauravTParmar]

When exploring ideas with generative models, you want a range of possibilities. Instead, you often disappointingly get a gallery of near-duplicates.

The culprit is standard I.I.D. sampling. We introduce a new inference method to generate high-quality and varied outputs.

1/n

[Science girl @sciencegirl]

The street art of Pierre Brault

https://t.co/cW6ORLKezx

[David Bau @davidbau]

Announcing a deep net interpretability talk series!

Every week you will find new talks on recent research in the science of neural networks. The first few are posted: @jack_merulllo_, @RoyRinberg, and me.

At the @ndif_team Youtube Channel: https://t.co/xDG778qrD5.

[Sebastian Raschka @rasbt]

From GPT to MoE: I reviewed & compared the main LLMs of 2025 in terms of their architectural design from DeepSeek-V3 to Kimi 2.

Multi-head Latent Attention, sliding window attention, new Post- & Pre-Norm placements, NoPE, shared-expert MoEs, and more...
https://t.co/oEt8XzNxik

[Rohan Paul @rohanpaul_ai]

this is pure beauty 👌👌

midjourney

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reddit .com/r/midjourney/comments/1m4rxhp/paint_world_4/

[Sander Dieleman @sedielem]

We are hiring on the Veo team!📽️

Some people asked me about this at #ICML2025. If that's you, I will have told you to check https://t.co/w9gTOJiCI4 regularly.

👀It's just been updated:
Europe (London, Zurich) https://t.co/2My3Fcztup
US (Mountain View) https://t.co/1HurWZ7AW3