2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
The Seriality Gap in Video Diffusion Models
Jorge Diaz Chao, Konpat Preechakul, Yuxi Liu +1
When one ball strikes another, then another, video models should predict the consequences of each bounce. In controlled experiments on multi-ball hard-sphere dynamics, we find that…
Transformers Discover Molecular Structure Without Graph Priors
Tobias Kreiman, Yutong Bai, Fadi Atieh +3
Computational simulations play a central role in scientific discovery, and machine learning (ML) has emerged as a promising alternative to traditional physics-based modeling. Howev…
The Serial Scaling Hypothesis
Yuxi Liu, Konpat Preechakul, Kananart Kuwaranancharoen +1
While machine learning has advanced through massive parallelization, we identify a critical blind spot: some problems are fundamentally sequential. These "inherently serial" proble…
REOrdering Patches Improves Vision Models
Declan Kutscher, David M. Chan, Yutong Bai +2
Sequence models such as transformers require inputs to be represented as one-dimensional sequences. In vision, this typically involves flattening images using a fixed row-major (ra…