Madhu Advani

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Intrinsic Dimensionality

Top Venues

Publications

Preetum Nakkiran, Arwen Bradley, Hattie Zhou, Madhu Advani
Step-by-Step Diffusion: An Elementary Tutorial. CoRR (2024)
Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. CoRR (2024)
Julia Steinberg, Madhu Advani, Haim Sompolinsky
A new role for circuit expansion for learning in neural networks. CoRR (2020)
Sebastian Goldt, Madhu Advani, Andrew M. Saxe, Florent Krzakala, Lenka Zdeborová
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. NeurIPS (2019)
Stefano Recanatesi, Matthew Farrell, Madhu Advani, Timothy Moore, Guillaume Lajoie, Eric Shea-Brown
Dimensionality compression and expansion in Deep Neural Networks. CoRR (2019)
Andrew M. Saxe, Yamini Bansal, Joel Dapello, Madhu Advani, Artemy Kolchinsky, Brendan D. Tracey, David D. Cox
On the Information Bottleneck Theory of Deep Learning. ICLR (Poster) (2018)
Yamini Bansal, Madhu Advani, David D. Cox, Andrew M. Saxe
Minnorm training: an algorithm for training over-parameterized deep neural networks. CoRR (2018)
Madhu Advani, Surya Ganguli
An equivalence between high dimensional Bayes optimal inference and M-estimation. NIPS (2016)