π An other Exciting news! Our paper "From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks" has been accepted at ICLR 2025!
arxiv.org/abs/2409.14623
A thread on how relative weight initialization shapes learning dynamics in deep networks. π§΅ (1/9)
04.04.2025 14:45 β π 30 π 9 π¬ 1 π 0
Come check out our #NeurIPS2024 spotlight poster on feature learning tomorrow!
π East Exhibit Hall A-C #2102
π
Thu 12 Dec 4:30 p.m. β 7:30 p.m. PST
π arxiv.org/abs/2406.06158
11.12.2024 22:07 β π 5 π 1 π¬ 0 π 1
Had an amazing time with @marcofm.bsky.social @danielkunin.bsky.social @david-klindt.bsky.social and Feng Chen doing science π§βπ¬ and surfing π in Santa Barbara for the Follow-on Program at the Kavli Institute for Theoretical Physics! π΄ #ScienceAndSurf #KITP
05.12.2024 22:21 β π 5 π 3 π¬ 0 π 0
PhD candidate at Yale Environment. thinking about trees, methane, microbes, forests, mangroves, climate solutions, justice. he/him. jongewirtzman.com
Postdoc at Inria Grenoble with Julien Mairal.
scottpesme.github.io
Env economics @ UCSB | on the AY24-25 job market | water & social equityπ§βοΈ
Studying neural computation β’ Assistant Professor of Neuroscience at Baylor College of Medicine β’ lipshutzlab.com
β’PhD student @ https://www.ucl.ac.uk/gatsby π§ π»
β’Masters Theoretical Physics UoM|UCLAπͺ
β’Intern @zuckermanbrain.bsky.social|
@SapienzaRoma | @CERN | @EPFL
https://linktr.ee/Clementine_Domine
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, π¦ , c4r.io
Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine.
lampinen.github.io
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
AI @ OpenAI, Tesla, Stanford
theory of neural networks for natural and artificial intelligence
https://pehlevan.seas.harvard.edu/
Love Physics, Maths, Machine learning, Computer Science but above all playing πΈπ΅ Happy dad π§ π§. Also professor @ EPFL. Views are my own.
NeuroAI Prof @EPFL π¨π. ML + Neuro π€π§ . Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
comp neuro, neural manifolds, neuroAI, physics of learning
assistant professor @ harvard (physics, center for brain science, kempner institute)
proj leader @ Flatiron Institute
https://sites.google.com/site/sueyeonchung/
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts β into puns: sometimes theorems. He/him.
Asst Prof at NYU + Flatiron Institute
Computational + Statistical Neuroscience
https://neurostatslab.org/