Samira Ebrahimi Kahou

University of Calgary — Canada

Computer Science · Physical Sciences

19h-index5.9kcitations97works0.32yr avg
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Research Topics

Multimodal Machine Learning Applications(14), Domain Adaptation and Few-Shot Learning(9), Advanced Neural Network Applications(8), Human Pose and Action Recognition(8), Reinforcement Learning in Robotics(7)

Publications97 total

Survey on <scp>AI</scp> Ethics: A Socio‐Technical Perspective
Computational Intelligence·2025Open Access
Attention-Based Multi-Agent RL for Multi-Machine Tending Using Mobile Robots
AI·2025Open Access
Source-free domain adaptation requires penalized diversity
Machine Learning·2025· 1 cited
Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection
arXiv (Cornell University)·2025Open Access
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
arXiv (Cornell University)·2025Open Access
Cross-Layer Discrete Concept Discovery for Interpreting Language Models
arXiv (Cornell University)·2025Open Access
Estimation of Head Motion in Structural MRI and its Impact on Cortical Thickness Measurements in Retrospective Data
arXiv (Cornell University)·2025Open Access
Towards Fair In-Context Learning with Tabular Foundation Models
arXiv (Cornell University)·2025· 2 citedOpen Access
Improving Quality Control of MRI Images Using Synthetic Motion Data
2025
Handling Delay in Real-Time Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Behaviour Discovery and Attribution for Explainable Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Improving Quality Control Of MRI Images Using Synthetic Motion Data
arXiv (Cornell University)·2025Open Access
Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks
Metals·2025· 3 citedOpen Access
Controlling Minor Element Phosphorus in Green Electric Steelmaking Using Neural Networks
˜The œminerals, metals & materials series·2025· 1 cited
Comparative Analysis of Diffusion Generative Models in Computational Pathology
arXiv (Cornell University)·2024Open Access
Adaptive Group Robust Ensemble Knowledge Distillation
arXiv (Cornell University)·2024Open Access
Predicting End-Point Phosphorus Content in Electric Arc Furnace Steel with Artificial Neural Networks
2024
PP259 Topic: AS25–Sedation/Analgesia/Delirium/Withdrawal Syndrome/Other: PSYCHOMOTOR AGITATION DETECTION USING DEEP LEARNING
Pediatric Critical Care Medicine·2024
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
arXiv (Cornell University)·2024Open Access
Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Vincent Michalski(18), Yoshua Bengio(15), Christopher Pal(12), Roland Memisevic(8), Chris Pal(5), Shikhar Sharma(5), Xavier Bouthillier(4), Kishore Konda(4), Pierre Froumenty(4), Pascal Vincent(4), Christopher Beckham(4), Tegan Maharaj(4), Vikram Voleti(4), Roger Girgis(4), Florian Golemo(4), Martin Weiß(4), Doina Precup(4), Joanna Materzyńska(3), Heuna Kim(3), Valentin Haenel(3)