Summary of Global Optimisation Of Black-box Functions with Generative Models in the Wasserstein Space, by Tigran Ramazyan et al.
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Spaceby Tigran Ramazyan, Mikhail…
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Spaceby Tigran Ramazyan, Mikhail…
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Databy Tim Elsner, Paula Usinger, Victor…
Bayesian Causal Forests for Longitudinal Data: Assessing the Impact of Part-Time Work on Growth in…
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approachby Tanvir Hossain, Khaled Mohammed Saifuddin,…
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detectionby Soumyajit Gupta, Venelin Kovatchev, Maria De-Arteaga,…
Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modelingby Jaehyeok Kim, Dongyoon Wee, Dan…
Efficient Training with Denoised Neural Weightsby Yifan Gong, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey…
Does Refusal Training in LLMs Generalize to the Past Tense?by Maksym Andriushchenko, Nicolas FlammarionFirst submitted…
Understanding Transformers via N-gram Statisticsby Timothy NguyenFirst submitted to arxiv on: 30 Jun 2024CategoriesMain: Computation…
SignSpeak: Open-Source Time Series Classification for ASL Translationby Aditya Makkar, Divya Makkar, Aarav Patel, Liam…