Posture Recognition in HINE Exercises. - Abdul Fatir Ansari; Partha Pratim Roy 001; Debi Prosad Dogra (CVIP (2), 2016)

Exercise classification and event segmentation in Hammersmith Infant Neurological Examination videos. - Abdul Fatir Ansari; Partha Pratim Roy 001; Debi Prosad Dogra (Mach. Vis. Appl., 2018)

Hyperprior Induced Unsupervised Disentanglement of Latent Representations. - Abdul Fatir Ansari; Harold Soh (AAAI, 2019)

A Characteristic Function Approach to Deep Implicit Generative Modeling. - Abdul Fatir Ansari; Jonathan Scarlett; Harold Soh (CVPR, 2020)

Event-Driven Visual-Tactile Sensing and Learning for Robots. - Tasbolat Taunyazov; Weicong Sng; Brian Lim; Hian-Hian See; Jethro Kuan; Abdul Fatir Ansari; Benjamin C. K. Tee; Harold Soh (Robotics: Science and Systems, 2020)

Refining Deep Generative Models via Wasserstein Gradient Flows. - Abdul Fatir Ansari; Ming Liang Ang; Harold Soh (CoRR, 2020)

Refining Deep Generative Models via Discriminator Gradient Flow. - Abdul Fatir Ansari; Ming Liang Ang; Harold Soh (ICLR, 2021)

Deep Explicit Duration Switching Models for Time Series. - Abdul Fatir Ansari; Konstantinos Benidis; Richard Kurle; Ali Caner Türkmen; Harold Soh; Alexander J. Smola; Bernie Wang 001; Tim Januschowski (NeurIPS, 2021)

Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. - Abdul Fatir Ansari; Alvin Heng; Andre Lim; Harold Soh (ICML, 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 014; Yuyang Wang 001 (NeurIPS, 2023)

Generative Modeling with Flow-Guided Density Ratio Learning. - Alvin Heng; Abdul Fatir Ansari; Harold Soh (ECML/PKDD (2), 2024)

Chronos: Learning the Language of Time Series. - Abdul Fatir Ansari; Lorenzo Stella; Ali Caner Türkmen; Xiyuan Zhang; Pedro Mercado; Huibin Shen; Oleksandr Shchur; Syama Sundar Rangapuram; Sebastian Pineda-Arango; Shubham Kapoor; Jasper Zschiegner; Danielle C. Maddix; et al. (CoRR, 2024)

Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics. - Matthias Karlbauer; Danielle C. Maddix; Abdul Fatir Ansari; Boran Han; Gaurav Gupta; Yuyang Wang 001; Andrew Stuart; Michael W. Mahoney (CoRR, 2024)

Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions. - Chaoran Cheng; Boran Han; Danielle C. Maddix; Abdul Fatir Ansari; Andrew Stuart; Michael W. Mahoney; Yuyang Wang 001 (CoRR, 2024)

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; Yuyang Wang 001 (CoRR, 2024)

Chronos: Learning the Language of Time Series. - Abdul Fatir Ansari; Lorenzo Stella; Ali Caner Türkmen; Xiyuan Zhang; Pedro Mercado; Huibin Shen; Oleksandr Shchur; Syama Sundar Rangapuram; Sebastian Pineda-Arango; Shubham Kapoor; Jasper Zschiegner; Danielle C. Maddix; et al. (Trans. Mach. Learn. Res., 2024)

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. - Sebastian Pineda Arango; Pedro Mercado; Shubham Kapoor; Abdul Fatir Ansari; Lorenzo Stella; Huibin Shen; Hugo Senetaire; Ali Caner Türkmen; Oleksandr Shchur; Danielle C. Maddix; Michael Bohlke-Schneider; Bernie Wang 001; et al. (AISTATS, 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 001 (ICLR, 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 Senetaire; Caner Turkmen; Oleksandr Shchur; Danielle C. Maddix; Michael Bohlke-Schneider; Yuyang Wang 001; et al. (CoRR, 2025)

Zero-Shot Time Series Forecasting with Covariates via In-Context Learning. - Andreas Auer; Raghul Parthipan; Pedro Mercado; Abdul Fatir Ansari; Lorenzo Stella; Yuyang Wang 001; Michael Bohlke-Schneider; Syama Sundar Rangapuram (CoRR, 2025)

Does Multimodality Lead to Better Time Series Forecasting? - Xiyuan Zhang; Boran Han; Haoyang Fang; Abdul Fatir Ansari; Shuai Zhang 007; Danielle C. Maddix; Cuixiong Hu; Andrew Gordon Wilson; Michael W. Mahoney; Hao Wang 014; Yan Liu; Huzefa Rangwala; et al. (CoRR, 2025)