Advanced Time Series Analysis: From probabilistic to foundational models

Dear all, you can find the updated list of assigned papers and presentation dates below: 

 

Paper Presentations - Final Assignment and Dates

1. Block 1: Explicit Modeling of Time 

   • Session 1 [14/05/2025]
     • Modeling Interleaved Hidden Processes  [S​​tudent:​​ ​​7062722]
     • ​​​​​​​FlowHMM: Flow-based continuous hidden Markov Models [Student: 7074398]
   • ​​​​​​​Session 2 [21/05/2025]
     • ​​​​​​​WaveNet: A Generative Model for Raw Audio [Student: 7056420]
     • DeepAR: Probabilistic forecasting with autoregressive recurrent networks [Student: 7069106]

2. Block 2: Implicit Modeling of Time

   • ​​​​​​​Session 1 [04/06/2025]
     • ​​​​​​​BRITS: Bidirectional Recurrent Imputation for Time Series [Student: 7071404]
     • Attention Is All You Need [Student: 7047803]
   • ​​​​​​​Session 2 [11/06/2025]
     • ​​​​​​​A Time Series is Worth 64 Words: Long-term Forecasting with Transformers [Student: 7022859]
     • iTransformer: Inverted Transformers Are Effective for Time Series Forecasting [Student: 7076474]

3. ​​​​​​​​​​​​​​Block 3: Foundation Models and Task-Agnostic Approaches

   • ​​​​​​​Session 1 [25/06/2025]
     • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding [Student: 7075927]
     • Unified Training of Universal Time Series Forecasting Transformers (MOIRAI) [Student: 7025878]
   • ​​​​​​​Session 2 [02/07/2025]
     • Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction [Student: 7071951]
     • Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models  [Student: 7072812]

 

Best,

Your seminar team