3 citations · 5 across the 5 of their papers we have counts for
6 papers
VBO-MI: A Differentiable Black-Box Optimization Framework via Variational Mutual Information Estimation
Farhad Mirkarimi
Many real-world tasks require optimizing expensive black-box functions accessible only through noisy evaluations, a setting commonly addressed with Bayesian optimization. While Gau…
Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information
Farhad Mirkarimi
Bayesian optimization (BO) of expensive black-box functions is traditionally addressed with Gaussian processes (GPs), which scale cubically with observations, or Bayesian neural ne…
A Perspective on Neural Capacity Estimation: Viability and Reliability
Farhad Mirkarimi, Stefano Rini, Nariman Farsad
Recently, several methods have been proposed for estimating the mutual information from sample data using deep neural networks. These estimators ar referred to as neural mutual inf…
Neural Capacity Estimators: How Reliable Are They?
Farhad Mirkarimi, Stefano Rini, Nariman Farsad
Recently, several methods have been proposed for estimating the mutual information from sample data using deep neural networks and without the knowing closed form distribution of t…
Neural Computation of Capacity Region of Memoryless Multiple Access Channels
Farhad Mirkarimi, Nariman Farsad
This paper provides a numerical framework for computing the achievable rate region of memoryless multiple access channel (MAC) with a continuous alphabet from data. In particular,…
On the Capacity of the Joint Time and Concentration Modulation for Molecular Communications
Farhad Mirkarimi, Mahtab Mirmohseni, Masoumeh Nasiri-Kenari
Most diffusion based molecular channels suffer from low information capacity due to the structure of the diffusion environment. To address this issue, this paper studies the capaci…