75 citations · 126 across the 16 of their papers we have counts for
16 papers
Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions
Utsav Dutta, Sina Khoshfetrat Pakazad, Henrik Ohlsson
Traditional time series models are task-specific and often depend on dataset-specific training and extensive feature engineering. While Transformer-based architectures have improve…
Expert-guided Regularization via Distance Metric Learning
Shouvik Mani, Mehdi Maasoumy, Sina Pakazad +1
High-dimensional prediction is a challenging problem setting for traditional statistical models. Although regularization improves model performance in high dimensions, it does not…
Efficient Robust Model Predictive Control using Chordality
Anders Hansson, Sina Khoshfetrat Pakazad
In this paper we show that chordal structure can be used to devise efficient optimization methods for robust model predictive control problems. The chordal structure is used both f…
Exploiting Chordality in Optimization Algorithms for Model Predictive Control
Anders Hansson, Sina Khoshfetrat Pakazad
In this chapter we show that chordal structure can be used to devise efficient optimization methods for many common model predictive control problems. The chordal structure is used…
Distributed, scalable and gossip-free consensus optimization with application to data analysis
Sina Khoshfetrat Pakazad, Christian A. Naesseth, Fredrik Lindsten +1
Distributed algorithms for solving additive or consensus optimization problems commonly rely on first-order or proximal splitting methods. These algorithms generally come with rest…
Distributed Localization of Tree-structured Scattered Sensor Networks
Sina Khoshfetrat Pakazad, Emre Özkan, Carsten Fritsche +2
Many of the distributed localization algorithms are based on relaxed optimization formulations of the localization problem. These algorithms commonly rely on first-order optimizati…