2 citations · 2 across the 3 of their papers we have counts for
4 papers
A Mechanism for Producing Aligned Latent Spaces with Autoencoders
Saachi Jain, Adityanarayanan Radhakrishnan, Caroline Uhler
Aligned latent spaces, where meaningful semantic shifts in the input space correspond to a translation in the embedding space, play an important role in the success of downstream t…
On Alignment in Deep Linear Neural Networks
Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Bernstein +1
We study the properties of alignment, a form of implicit regularization, in linear neural networks under gradient descent. We define alignment for fully connected networks with mul…
Memorization in Overparameterized Autoencoders
Adityanarayanan Radhakrishnan, Karren Yang, Mikhail Belkin +1
The ability of deep neural networks to generalize well in the overparameterized regime has become a subject of significant research interest. We show that overparameterized autoenc…
Counting Markov Equivalence Classes for DAG models on Trees
Adityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler
DAG models are statistical models satisfying a collection of conditional independence relations encoded by the nonedges of a directed acyclic graph (DAG) . Such models…