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ORCIDAbdul Fatir Ansari
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2020 – today
- 2024
[c9]Alvin Heng, Abdul Fatir Ansari, Harold Soh:
Generative Modeling with Flow-Guided Density Ratio Learning. ECML/PKDD (2) 2024: 250-267- [i12]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, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang:
Chronos: Learning the Language of Time Series. CoRR abs/2403.07815 (2024) - [i11]Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Yuyang Wang, Andrew Stuart, Michael W. Mahoney:
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics. CoRR abs/2407.14129 (2024) - [i10]Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Yuyang Wang:
Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions. CoRR abs/2412.01786 (2024) - [i9]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:
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. CoRR abs/2412.05244 (2024) - 2023
- [c8]Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh:
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. ICML 2023: 926-951 - [c7]Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang:
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting. NeurIPS 2023 - [i8]Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh:
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series. CoRR abs/2301.11308 (2023) - [i7]Alvin Heng, Abdul Fatir Ansari, Harold Soh:
Generative Modeling with Flow-Guided Density Ratio Learning. CoRR abs/2303.03714 (2023) - [i6]Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang:
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting. CoRR abs/2307.11494 (2023) - 2021
- [c6]Abdul Fatir Ansari, Ming Liang Ang, Harold Soh:
Refining Deep Generative Models via Discriminator Gradient Flow. ICLR 2021 - [c5]Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski:
Deep Explicit Duration Switching Models for Time Series. NeurIPS 2021: 29949-29961 - [i5]Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski:
Deep Explicit Duration Switching Models for Time Series. CoRR abs/2110.13878 (2021) - 2020
- [c4]Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh:
A Characteristic Function Approach to Deep Implicit Generative Modeling. CVPR 2020: 7476-7484 - [c3]Tasbolat Taunyazov
, Weicong Sng, Brian Lim, Hian-Hian See, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh:
Event-Driven Visual-Tactile Sensing and Learning for Robots. Robotics: Science and Systems 2020 - [i4]Tasbolat Taunyazov, Weicong Sng, Hian-Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh:
Event-Driven Visual-Tactile Sensing and Learning for Robots. CoRR abs/2009.07083 (2020) - [i3]Abdul Fatir Ansari, Ming Liang Ang, Harold Soh:
Refining Deep Generative Models via Wasserstein Gradient Flows. CoRR abs/2012.00780 (2020)
2010 – 2019
- 2019
- [c2]Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. AAAI 2019: 3175-3182 - [i2]Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh:
A Characteristic Function Approach to Deep Implicit Generative Modeling. CoRR abs/1909.07425 (2019) - 2018
- [j1]Abdul Fatir Ansari, Partha Pratim Roy, Debi Prosad Dogra:
Exercise classification and event segmentation in Hammersmith Infant Neurological Examination videos. Mach. Vis. Appl. 29(2): 233-245 (2018) - [i1]Abdul Fatir Ansari, Harold Soh:
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. CoRR abs/1809.04497 (2018) - 2016
- [c1]Abdul Fatir Ansari, Partha Pratim Roy, Debi Prosad Dogra:
Posture Recognition in HINE Exercises. CVIP (2) 2016: 321-330
Coauthor Index
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