Publications

(* denotes equal contribution)

2024

  1. Fast Decision Boundary based Out-of-Distribution Detector
    Litian Liu, and Yao Qin
    ICML, 2024
    arXiv Code
  2. Math-Search: A Benchmark for Multi-hop Visual Reasoning over Plots
    Pulkit Madan, Sanjay Haresh, Apratim Bhattacharyya, Litian Liu, Reza Pourreza, Sunny Panchal, and Roland Memisevic
    Multimodal Algorithmic Reasoning (MAR) Workshop, CVPR, 2024

2023

  1. Detecting Out-of-Distribution Through the Lens of Neural Collapse
    Litian Liu, and Yao Qin
    Preprint, 2023
    arXiv
  2. Machine learning in the Positron Emission Tomography Imaging of Alzheimer’s Disease
    Cyrus Ayubcha, Shashi B Singh, Krishna H Patel, Arman Rahmim, Jareed Hasan, Litian Liu, Thomas Werner, and Abass Alavi
    Nuclear Medicine Communications, 2023

2022

  1. Neural Network Coding (Book Chapter)
    Litian Liu, Amit Solomon, Salman Salamatian, Derya Malak, and Muriel Médard
    In Machine Learning and Wireless Communications, edited by Yonina C Eldar, Andrea Goldsmith, Deniz Gündüz, H Vincent Poor. Cambridge University Press , 2022

2021

  1. Application-driven Intersections between Information Theory and Machine Learning
    Litian Liu
    PhD thesis, MIT, 2021

2020

  1. Neural Network Coding
    Litian Liu, Amit Solomon, Salman Salamatian, and Muriel Médard
    IEEE International Conference on Communications (ICC), 2020
    arXiv
  2. A Coding Theory Perspective on Multiplexed Molecular Profiling of Biological Tissues
    Luca D’Alessio*, Litian Liu*, Ken Duffy, Yonina C Eldar, Muriel Médard, and Mehrtash Babadi
    International Symposium on Information Theory and Its Applications (ISITA), 2020
    arXiv

2019

  1. Guesswork for Inference in Machine Translation with Seq2Seq Model
    Litian Liu, Derya Malak, and Muriel Médard
    IEEE Information Theory Workshop (ITW), 2019
  2. Mismatched guesswork and one-to-one codes
    Salman Salamatian, Litian Liu, Ahmad Beirami, and Muriel Médard
    IEEE Information Theory Workshop (ITW), 2019
    arXiv