publications

(*) denotes equal contribution

For a complete list, please check my Google Scholar.

2023

  1. ICML Oral
    Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
    Abdul Fatir AnsariAlvin Heng, Andre Lim, and Harold Soh
    In International Conference on Machine Learning, 2023
    Oral Presentation (top 2.4%)
  2. NeurIPS
    Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
    Marcel Kollovieh*Abdul Fatir Ansari*, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, and Bernie Wang
    In Neural Information Processing Systems, 2023
  3. arXiv
    Generative Modeling with Flow-Guided Density Ratio Learning
    Alvin HengAbdul Fatir Ansari, and Harold Soh
    arXiv preprint arXiv:2303.03714, 2023

2022

  1. PhD Thesis
    Deep Generative Modeling for Images and Time Series
    Abdul Fatir Ansari
    National University of Singapore, 2022
    Dean’s Graduate Research Excellence Award

2021

  1. ICLR
    Refining Deep Generative Models via Discriminator Gradient Flow
    Abdul Fatir AnsariMing Liang Ang, and Harold Soh
    In International Conference on Learning Representations, 2021
  2. NeurIPS
    Deep Explicit Duration Switching Models for Time Series
    Abdul Fatir Ansari*, Konstantinos Benidis*, Richard Kurle, Ali Caner TurkmenHarold SohAlex SmolaBernie Wang, and Tim Januschowski
    In Neural Information Processing Systems, 2021

2020

  1. CVPR Oral
    A Characteristic Function Approach to Deep Implicit Generative Modeling
    Abdul Fatir AnsariJonathan Scarlett, and Harold Soh
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
    Oral Presentation (top 5%)

2019

  1. AAAI Spotlight
    Hyperprior induced unsupervised disentanglement of latent representations
    Abdul Fatir Ansari, and Harold Soh
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2019