Annesya Banerjee

PhD student @Harvard and @MIT studying hearing sciences

[Surya Ganguli @SuryaGanguli]

Check out all the amazing work from our @SimonsFdn Collaboration on the Physics of Learning and Neural Computation (https://t.co/TfOKlQxCrE) presented at the main meeting of @ICMLconf #ICML2026

Tuesday

Efficient Learning of Compositional Targets with Hierarchical Spectral Methods,Hugo Tabanelli, Yatin Dandi, Luca Pesce, and Florent Krzakala
https://t.co/wix8AkXVcl

CompleteP for RL: Maintaining Feature Learning When Scaling Deep Reinforcement Learning
M Ganesh Kumar, Adam Lee, Blake Bordelon , Cengiz Pehlevan
https://t.co/Ox6AgFt5LU

Universal One-third Time Scaling in Learning Peaked Distributions
Yizhou Liu, Ziming Liu, Cengiz Pehlevan, Jeff Gore
https://t.co/QzIQf5ANde

Wednesday

A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models, Leonardo Defilippis, Florent Krzakala, Bruno Loureiro, Antoine Maillard
https://t.co/x4zZVfTHP9

Single-Head Attention in High Dimensions: A Theory of Generalization, Weights Spectra, and Scaling Laws Fabrizio Boncoraglio, Vittorio Erba, Emanuele Troiani, Yizhou Xu, Florent Krzakala, Lenka Zdeborová
https://t.co/CKWt5qGyOR

A Solvable High-Dimensional Model Where Nonlinear Autoencoders Learn Structure Invisible to PCA While Test Loss Misaligns With Generalization
Vicente Mendes, Lorenzo Bardone, Cédric Koller, Jorge Medina Moreira, Vittorio Erba ⋅ Emanuele Troiani, Lenka Zdeborova
https://t.co/rgDY2ieGJR

Deep networks learn to parse uniform-depth context-free languages from local statistics
Jack T. Parley, Francesco Cagnetta, Matthieu Wyart
https://t.co/yrqjxZTrAp

Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling
Indranil Halder, Cengiz Pehlevan
https://t.co/ERCgkiOyIt

On the Existence of Consistent Adversarial Attacks in High-Dimensional Linear Classification
Matteo Vilucchio, Lenka Zdeborova, Bruno Loureiro
https://t.co/KDpelqRLla

Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation
Zier Mensch, Lars Holdijk, Samuel Duffield, Maxwell Aifer, Patrick Coles, Max Welling, Miranda C. N. Cheng
https://t.co/ikqMhKQOfJ

Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Shobhita Sundaram, John Quan, Ariel Kwiatkowski, Kartik Ahuja, Yann Ollivier, Julia Kempe
https://t.co/wjgSrAbJ25

Thursday

Deriving Neural Scaling Laws from the Statistics of Natural Language
Francesco Cagnetta ⋅ Allan Raventos ⋅ Surya Ganguli ⋅ Matthieu Wyart
https://t.co/b6nKYqNulh

Symmetry in language statistics shapes the geometry of model representations
Dhruva Karkada, Daniel Korchinski, Andres Nava, Matthieu Wyart, Yasaman Bahri
https://t.co/Y58fJt9qmk

A Random Matrix Perspective on the Consistency of Diffusion Models
Binxu Wang, Jacob A Zavatone-Veth, Cengiz Pehlevan
https://t.co/snM0EAxv3Q

Hyperparameter Transfer with Mixture-of-Expert Layers
Tianze Jiang, Blake Bordelon, Cengiz Pehlevan, Boris Hanin
https://t.co/dIe32NuQTS

Analytic Bijections for Smooth and Interpretable Normalizing Flows
Mathis Gerdes, Miranda C. N. Cheng
https://t.co/kWCw1EHGn4

Efficient RL Training for LLMs with Experience Replay
Charles Arnal, Vivien Cabannnes, Taco Cohen, Julia Kempe, Remi Munos
https://t.co/EjmNErAFpC

Embedding Trust: Semantic Isotropy Predicts Nonfactuality in Long-Form Text Generation
Dhrupad Bhardwaj, Julia Kempe, Tim G. J. Rudner
https://t.co/MknrTodSaX

What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
Yunzhen Feng, Julia Kempe, Cheng Zhang, Parag Jain, Anthony Hartshorn
https://t.co/S18yTP5fy5

From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers
Ziming Liu, Surya Ganguli, Andreas Tolias
https://t.co/H7eFnYtYQC

[OpenAI @OpenAI]

Physician use of AI nearly doubled in a year.

Today we launched OpenAI for Healthcare, a HIPAA-ready way for healthcare organizations to deliver more consistent, high-quality care to patients.

Now live at AdventHealth, Baylor Scott & White, UCSF, Cedars-Sinai, HCA, Memorial Sloan Kettering, and many more. https://t.co/V7jZEtNBcV

[Alexandr Wang @alexandr_wang]

new open model release out of MSL: SAM Audio 🔊

check it out!