24 citations · 36 across the 7 of their papers we have counts for
7 papers
Government Intervention in Catastrophe Insurance Markets: A Reinforcement Learning Approach
Menna Hassan, Nourhan Sakr, Arthur Charpentier
This paper designs a sequential repeated game of a micro-founded society with three types of agents: individuals, insurers, and a government. Nascent to economics literature, we us…
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models
Hadeel Mabrouk, Omar Abugabal, Nourhan Sakr +1
In this work, we propose a technique to transfer speech recognition capabilities from audio speech recognition systems to visual speech recognizers, where our goal is to utilize au…
Spatio-Temporal Attention Mechanism and Knowledge Distillation for Lip Reading
Shahd Elashmawy, Marian Ramsis, Hesham M. Eraqi +4
Despite the advancement in the domain of audio and audio-visual speech recognition, visual speech recognition systems are still quite under-explored due to the visual ambiguity of…
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system
Nourhan Sakr, Aya Salama, Nadeen Tameesh +1
The swift transitions in higher education after the COVID-19 outbreak identified a gap in the pedagogical support available to faculty. We propose a smart, knowledge-based chatbot…
Few Shot System Identification for Reinforcement Learning
Karim Farid, Nourhan Sakr
Learning by interaction is the key to skill acquisition for most living organisms, which is formally called Reinforcement Learning (RL). RL is efficient in finding optimal policies…
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +6
We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy. The proposed framework relies on projections v…
An Empirical Study of Online Packet Scheduling Algorithms
Nourhan Sakr, Cliff Stein
This work studies online scheduling algorithms for buffer management, develops new algorithms, and analyzes their performances. Packets arrive at a release time r, with a non-negat…