Ansari, Abdul Fatir

12 publications

AISTATS 2025 ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Henri Joseph Senetaire, Ali Caner Turkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram

ICML 2025 Enhancing Foundation Models for Time Series Forecasting via Wavelet-Based Tokenization Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang

ICLR 2025 Gradient-Free Generation for Hard-Constrained Systems Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang

NeurIPS 2025 Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang

TMLR 2024 Chronos: Learning the Language of Time Series Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang

ICLRW 2024 Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes Dynamics Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Bernie Wang, Andrew Stuart, Michael W. Mahoney

ECML-PKDD 2024 Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng, Abdul Fatir Ansari, Harold Soh

ICML 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh

NeurIPS 2023 Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang

NeurIPS 2021 Deep Explicit Duration Switching Models for Time Series Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander J Smola, Bernie Wang, Tim Januschowski

ICLR 2021 Refining Deep Generative Models via Discriminator Gradient Flow Abdul Fatir Ansari, Ming Liang Ang, Harold Soh

AAAI 2019 Hyperprior Induced Unsupervised Disentanglement of Latent Representations Abdul Fatir Ansari, Harold Soh