205 citations · 421 across the 9 of their papers we have counts for
11 papers
Decoding Looped Transformers Better for (Almost) Free
Weihao Liu, Huangjie Zheng, Tianrong Chen +5
Looped Transformers achieve parameter efficiency by repeatedly executing a shared block across recurrent loops. Each loop yields an intermediate representation decodable for the sa…
How to Guide Your Language Flow
Rohit Dilip, Tianrong Chen, Yuyang Wang +3
We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen internal states of an existing diffusion model to construct a g…
Adaptive Protein Tokenization
Rohit Dilip, Ayush Varshney, David Van Valen
Tokenization is a promising path to multi-modal models capable of jointly understanding protein sequences, structure, and function. Existing protein structure tokenizers create tok…
Flow Autoencoders are Effective Protein Tokenizers
Rohit Dilip, Evan Zhang, Ayush Varshney +1
Protein structure tokenizers enable the creation of multimodal models of protein structure, sequence, and function. Current approaches to protein structure tokenization rely on bes…
A Foundation Model for Cell Segmentation
Uriah Israel, Markus Marks, Rohit Dilip +11
Cells are the fundamental unit of biological organization, and identifying them in imaging data - cell segmentation - is a critical task for various cellular imaging experiments. W…
Interacting models for twisted bilayer graphene: a quantum chemistry approach
Fabian M. Faulstich, Kevin D. Stubbs, Qinyi Zhu +7
The nature of correlated states in twisted bilayer graphene (TBG) at the magic angle has received intense attention in recent years. We present a numerical study of an interacting…
Data compression for quantum machine learning
Rohit Dilip, Yu-Jie Liu, Adam Smith +1
The advent of noisy-intermediate scale quantum computers has introduced the exciting possibility of achieving quantum speedups in machine learning tasks. These devices, however, ar…
Characterizing fractional topological phases of lattice bosons near the first Mott lobe
Julian Boesl, Rohit Dilip, Frank Pollmann +1
The Bose-Hubbard model subjected to an effective magnetic field hosts a plethora of phases with different topological orders when tuning the chemical potential. Using the density m…
Real- and imaginary-time evolution with compressed quantum circuits
Sheng-Hsuan Lin, Rohit Dilip, Andrew G. Green +2
The current generation of noisy intermediate scale quantum computers introduces new opportunities to study quantum many-body systems. In this paper, we show that quantum circuits c…
Trapped arrays of alkaline earth Rydberg atoms in optical tweezers
Jack Wilson, Samuel Saskin, Yijian Meng +4
Neutral atom qubits with Rydberg-mediated interactions are a leading platform for developing large-scale coherent quantum systems. In the majority of experiments to date, the Rydbe…
A simple phenomenological model for describing the normal state single particle spectral function of high temperature superconductors
Kazue Matsuyama, Rohit Dilip, G. -H. Gweon
Describing the normal state single particle spectral function line shapes of high temperature superconductors remains an important goal in condensed matter physics. Recently, we ha…