Anand Gopalakrishnan
@agopal42.bsky.social
Postdoc at Harvard with @yilundu.bsky.social and @gershbrain.bsky.social PhD from IDSIA with Jürgen Schmidhuber. Previously: Apple MLR, Amazon AWS AI Lab. 7\.
agopal42.github.io
agopal42.github.io
Pinned
Excited to present "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery" at #NeurIPS2024! Poster: #3707 4:30pm on Thursday.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.
Excited to present "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery" at #NeurIPS2024! Poster: #3707 4:30pm on Thursday.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.
December 4, 2024 at 6:49 PM
Excited to present "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery" at #NeurIPS2024! Poster: #3707 4:30pm on Thursday.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.
TL;DR: Our model, SynCx, greatly simplifies the inductive biases and training procedures of current state-of-the-art synchrony models. Thread 👇 1/x.