Summary of Alphavit: a Flexible Game-playing Ai For Multiple Games and Variable Board Sizes, by Kazuhisa Fujita
AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizesby Kazuhisa FujitaFirst submitted…
AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizesby Kazuhisa FujitaFirst submitted…
Generalization of Graph Neural Networks is Robust to Model Mismatchby Zhiyang Wang, Juan Cervino, Alejandro…
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Trainingby Li Li,…
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Modelsby Yeji…
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairsby Brandon Smart, Chuanxia Zheng, Iro Laina, Victor…
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regionsby…
Learning to Move Like Professional Counter-Strike Playersby David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett,…
Prediction of COPD Using Machine Learning, Clinical Summary Notes, and Vital Signsby Negar Orangi-FardFirst submitted…
Time Series Analysis for Education: Methods, Applications, and Future Directionsby Shengzhong Mao, Chaoli Zhang, Yichi…
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selectionby Luca Silvano…