Issa Karambal

According to our database, Issa Karambal authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Novel technique based on Léja Points Approximation for Log-determinant Estimation of Large matrices.

Verlon Roel Mbingui, Antoine Tambue, Issa Karambal

CoRR, March, 2026

2025

Physics-Informed Neural Networks for Source Inversion and Parameters Estimation in Atmospheric Dispersion.

Brenda Anague, Bamdad Hosseini, Issa Karambal, Jean-Medard T. Ngnotchouye

CoRR, December, 2025

RRaPINNs: Residual Risk-Aware Physics Informed Neural Networks.

Ange-Clément Akazan, Issa Karambal, Jean-Medard T. Ngnotchouye, Abebe Geletu Selassie. W

CoRR, November, 2025

The Reflexive Integrated Information Unit: A Differentiable Primitive for Artificial Consciousness.

Gnankan Landry Regis N'guessan, Issa Karambal

CoRR, June, 2025

Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs.

Ange-Clément Akazan, Verlon Roel Mbingui, Gnankan Landry Regis N'guessan, Issa Karambal

CoRR, May, 2025

2024

AI and the Future of Work in Africa White Paper.

Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, Akua Gyekye, Anne Makena, Wesley Rosslyn-Smith, Matthew Grollnek, Charity Wayua, Rehema Baguma, Angel Maduke, Sarah Spencer, Daniel Kandie, Dennis Ndege Maari, Natasha Mutangana, Maxamed Axmed, Nyambura Kamau, Muhammad Adamu, Frank Swaniker, Brian Gatuguti, Jonathan Donner, Mark Graham, Janet Mumo, Caroline Mbindyo, Charlette N'Guessan, Irene Githinji, Lesego Makhafola, Sean Kruger, Olivia Etyang, Mulang Onando, Joe Sevilla, Nanjira Sambuli, Martin Mbaya, Paul Breloff, Gideon M. Anapey, Tebogo L. Mogaleemang, Tiyani Nghonyama, Muthoni Wanyoike, Bhekani Mbuli, Lawrence Nderu, Wambui Nyabero, Uzma Alam, Kayode Olaleye, Caroline Njenga, Abigail Sellen, David Kairo, Rutendo Chabikwa, Najeeb G. Abdulhamid, Ketry Kubasu, Chinasa T. Okolo, Eugenia Akpo, Joel Budu, Issa Karambal, Joseph Berkoh, William Wasswa, Mercy Muchai, Rob Burnet, Loise Ochanda, Hanlie de Bod, Elizabeth A. Ankrah, Selemani Kinyunyu, Mutembei Kariuki, Kizito Kiyimba, Farida Eleshin, Lillian Secelela Madeje, Catherine Muraga, Ida Nganga, Judy Gichoya, Tabbz Maina, Samuel C. Maina, Muchai Mercy, Millicent Ochieng, Stephanie Nyairo

CoRR, 2024

2023

A physics-informed neural network framework for modeling obstacle-related equations.

Hamid El Bahja, Jan Christian Hauffen, Peter Jung, Bubacarr Bah, Issa Karambal

CoRR, 2023