1 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Unrolled Flow Models for Reasoning
Faissal Izermine, Hanru Bai, Oscar Davis +1
Flow matching enables language generation in few steps, but whether additional integration steps improve reasoning remains unclear. We prove that a flow parameterized by a two-laye…
Universal Transformers for Circuit Computations: Perfect Length Generalization in Tiny Transformers
Takuya Ito, Ruchir Puri, Murray Campbell +1
Learning generalizable algorithmic computations remains a challenge for neural networks, as reflected in persistent failures on compositional and length generalization benchmarks.…
What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
Alec Helbling, Sebastian Gutierrez Hernandez, Benjamin Hoover +2
Recent work has shown that models flow matching models can be trained without explicit time conditioning, challenging the standard view that the interpolation time is needed to dis…
Deep Clustering with Associative Memories
Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki +1
Deep clustering - joint representation learning and latent space clustering - is a well studied problem especially in computer vision and text processing under the deep learning fr…