Amir Jalalirad

According to our database, Amir Jalalirad authored at least 9 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Dynamic Tool Dependency Retrieval for Efficient Function Calling.

Bhrij Patel, Davide Belli, Amir Jalalirad, Maximilian Arnold, Aleksandr Ermolov, Bence Major

CoRR, December, 2025

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning.

Hans Van Gorp, Davide Belli, Amir Jalalirad, Bence Major

CoRR, July, 2025

Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Masking.

Marco Federici, Davide Belli, Mart van Baalen, Amir Jalalirad, Andrii Skliar, Bence Major, Markus Nagel, Paul N. Whatmough

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks.

Amir Jalalirad, Davide Belli, Bence Major, Songwon Jee, Himanshu Shah, Will Morrison

CoRR, 2024

2019

A Simple and Efficient Federated Recommender System.

Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Michael R. Sprague

Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019

2018

Using Feature-Based Models with Complexity Penalization for Selecting Features.

Amir Jalalirad, Tjalling J. Tjalkens

J. Signal Process. Syst., 2018

Asynchronous Federated Learning for Geospatial Applications.

Michael R. Sprague, Amir Jalalirad, Marco Scavuzzo, Catalin Capota, Moritz Neun, Lyman Do, Michael Kopp

Proceedings of the ECML PKDD 2018 Workshops, 2018

2016

An Efficient Method for Computing a Bayesian Mixture of Feature-Based Models.

Amir Jalalirad, Tjalling J. Tjalkens

Int. J. Pattern Recognit. Artif. Intell., 2016

2015

Using a penalized maximum likelihood model for feature selection.

Amir Jalalirad, Tjalling J. Tjalkens

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015