Summary of Kuramoto Oscillators and Swarms on Manifolds For Geometry Informed Machine Learning, by Vladimir Jacimovic
Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learningby Vladimir JacimovicFirst submitted to…
Summary of Response Matching For Generating Materials and Molecules, by Bingqing Cheng
Response Matching for generating materials and moleculesby Bingqing ChengFirst submitted to arxiv on: 15 May…
Summary of Enhancing Airline Customer Satisfaction: a Machine Learning and Causal Analysis Approach, by Tejas Mirthipati (georgia Institute Of Technology)
Enhancing Airline Customer Satisfaction: A Machine Learning and Causal Analysis Approachby Tejas MirthipatiFirst submitted to…
Summary of Overcoming Domain Drift in Online Continual Learning, by Fan Lyu et al.
Overcoming Domain Drift in Online Continual Learningby Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang,…
Summary of Cross-input Certified Training For Universal Perturbations, by Changming Xu et al.
Cross-Input Certified Training for Universal Perturbationsby Changming Xu, Gagandeep SinghFirst submitted to arxiv on: 15…
Summary of Bridging the Gap in Online Hate Speech Detection: a Comparative Analysis Of Bert and Traditional Models For Homophobic Content Identification on X/twitter, by Josh Mcgiff and Nikola S. Nikolov
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional…
Summary of Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly, by Yijun Bian et al.
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptlyby Yijun Bian,…
Summary of Agnostic Active Learning Of Single Index Models with Linear Sample Complexity, by Aarshvi Gajjar et al.
Agnostic Active Learning of Single Index Models with Linear Sample Complexityby Aarshvi Gajjar, Wai Ming…
Summary of Large Language Models For Human-machine Collaborative Particle Accelerator Tuning Through Natural Language, by Jan Kaiser et al.
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Languageby Jan Kaiser, Annika…
Summary of Feature Importance and Explainability in Quantum Machine Learning, by Luke Power and Krishnendu Guha
Feature Importance and Explainability in Quantum Machine Learningby Luke Power, Krishnendu GuhaFirst submitted to arxiv…