The ML4G Lab had three papers accepted to AAAI 2022:
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, and Daniel B. Neill. SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. Proc. 36th AAAI Conf. on Artificial Intelligence, 2022.
Chunpai Wang, Daniel B. Neill, and Feng Chen. Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. Proc. 36th AAAI Conf. on Artificial Intelligence, 2022.
G. Reiersen, D. Dao, B. Lütjens, K. Klemmer, K. Amara, A. Steinegger, C. Zhang, and X.X. Zhu. ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. Proc. 36th AAAI Conf. on Artificial Intelligence, 2022.
Congratulations Konstantin and Daniel!