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20192026
most citedReal-time Travel Time Estimation Using Matrix Factorization

2 citations · 5 across the 15 of their papers we have counts for

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cs.LG2026

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +4

Diffusion large language models are a compelling alternative to autoregressive models, yet existing RL methods for diffusion treat all denoising steps as equally important and rely…

cs.LG2026

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +3

Discrete flow matching generates text by iteratively transforming noise tokens into coherent language, but may require hundreds of forward passes. Distillation uses the multi-step…

cs.LG2023

Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations

Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi +2

Cost-effective sensors are capable of real-time capturing a variety of air quality-related modalities from different pollutant concentrations to indoor/outdoor humidity and tempera…

cs.LG2022

Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data

Amin Karimi Monsefi, Sobhan Moosavi, Rajiv Ramnath

Road construction projects maintain transportation infrastructures. These projects range from the short-term (e.g., resurfacing or fixing potholes) to the long-term (e.g., adding a…

cs.LG2019

Solving the Reaction-Diffusion equation based on analytical methods and deep learning algorithm; the Case study of sulfate attack to concrete

Amin Karimi Monsefi, Rana Bakhtiyarzade

The reaction-diffusion equation is one of the cornerstones equations in applied science and engineering. In the present study, a deep neural network has been trained in order to pr…

cs.LG2019★ 2 cited

Real-time Travel Time Estimation Using Matrix Factorization

Ebrahim Badrestani, Behnam Bahrak, Ali Elahi +5

Estimating the travel time of any route is of great importance for trip planners, traffic operators, online taxi dispatching and ride-sharing platforms, and navigation provider sys…