Advanced Time Series Analysis: From probabilistic to foundational models

Dear students,

In the submissions portal, you can now submit your questions for Block 1 roundtable discussion. You need to submit one question in .txt format. In your question, please mention the paper/presentation you are referring to.

Also, the presenters for Week 1 can upload their slides in PDF format.

Please pay attention to the latest submission dates.

Kind regards, 

Your seminar team

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