Publications (10)
Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks
Jennifer Tang, Aviv Adler, Amir Ajorlou +1
Social pressure is a key factor affecting the evolution of opinions on networks in many types of settings, pushing people to conform to their neighbors' opinions. To study this, th…
Capacity of Noisy Permutation Channels
Jennifer Tang, Yury Polyanskiy
We establish the capacity of a class of communication channels introduced in [1]. The -letter input from a finite alphabet is passed through a discrete memoryless channel $P_{Z|…
Efficient Representation of Large-Alphabet Probability Distributions
Aviv Adler, Jennifer Tang, Yury Polyanskiy
A number of engineering and scientific problems require representing and manipulating probability distributions over large alphabets, which we may think of as long vectors of reals…
A Model-Driven Lossless Compression Algorithm Resistant to Mismatch
Cordelia Hu, Jennifer Tang
Due to the fundamental connection between next-symbol prediction and compression, modern predictive models, such as large language models (LLMs), can be combined with entropy codin…
Generative Visual Rationales
Jarrel Seah, Jennifer Tang, Andy Kitchen +1
Interpretability and small labelled datasets are key issues in the practical application of deep learning, particularly in areas such as medicine. In this paper, we present a semi-…
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals
Alejandro Lancho, Amir Weiss, Gary C. F. Lee +4
We study the potential of data-driven deep learning methods for separation of two communication signals from an observation of their mixture. In particular, we assume knowledge on…