Summary of Lightit: Illumination Modeling and Control For Diffusion Models, by Peter Kocsis (1) et al.
LightIt: Illumination Modeling and Control for Diffusion Modelsby Peter Kocsis, Julien Philip, Kalyan Sunkavalli, Matthias…
Summary of Dipaco: Distributed Path Composition, by Arthur Douillard et al.
DiPaCo: Distributed Path Compositionby Arthur Douillard, Qixuan Feng, Andrei A. Rusu, Adhiguna Kuncoro, Yani Donchev,…
Summary of Using Uncertainty Quantification to Characterize and Improve Out-of-domain Learning For Pdes, by S. Chandra Mouli et al.
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEsby S. Chandra Mouli, Danielle…
Summary of Conformal Predictions For Probabilistically Robust Scalable Machine Learning Classification, by Alberto Carlevaro et al.
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classificationby Alberto Carlevaro, Teodoro Alamo Cantarero, Fabrizio…
Summary of An Energy-efficient Ensemble Approach For Mitigating Data Incompleteness in Iot Applications, by Yousef Alshehri and Lakshmish Ramaswamy
An Energy-Efficient Ensemble Approach for Mitigating Data Incompleteness in IoT Applicationsby Yousef AlShehri, Lakshmish RamaswamyFirst…
Summary of A Comparative Study on Machine Learning Approaches For Rock Mass Classification Using Drilling Data, by Tom F. Hansen et al.
A comparative study on machine learning approaches for rock mass classification using drilling databy Tom…
Summary of Understanding the Double Descent Phenomenon in Deep Learning, by Marc Lafon and Alexandre Thomas
Understanding the Double Descent Phenomenon in Deep Learningby Marc Lafon, Alexandre ThomasFirst submitted to arxiv…
Summary of Introducing Adaptive Continuous Adversarial Training (acat) to Enhance Ml Robustness, by Mohamed Elshehaby et al.
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustnessby Mohamed elShehaby, Aditya Kotha, Ashraf…
Summary of Explainability Through Uncertainty: Trustworthy Decision-making with Neural Networks, by Arthur Thuy et al.
Explainability through uncertainty: Trustworthy decision-making with neural networksby Arthur Thuy, Dries F. BenoitFirst submitted to…
Summary of A Short Survey on Importance Weighting For Machine Learning, by Masanari Kimura and Hideitsu Hino
A Short Survey on Importance Weighting for Machine Learningby Masanari Kimura, Hideitsu HinoFirst submitted to…