Ingmar Schuster

3 papers · 2020–2021 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

AISTATS (1) ICLR (1) ICML (1)

Top co-authors

Kashif Rasul (2) Roland Vollgraf (2) Calvin Seward (1) Krikamol Muandet (1) Urs M Bergmann (1) Mattes Mollenhauer (1) Abdul-saboor Sheikh (1) Stefan Klus (1)

Research topics

Machine Learning (3) Deep Learning (2) Core Methods (2) Learning Types · Machine Learning (2) Models (2) Artificial Intelligence (1) Data Science & Analytics (1) Bayesian & Probabilistic (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory (1)

Keywords

probabilistic forecasting (2) multivariate time series (2) autoregressive model (2) markov chain (1) conditional density (1) score matching (1) normalizing flow (1) langevin sampling (1) diffusion probabilistic model (1) variational bound (1) kernel methods (1) multimodal output (1) density estimation (1) langavin sampling (1) reproducing kernel hilbert space (1) time series forecasting (1)

Papers

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows ICLR 2021 Kernel Conditional Density Operators AISTATS 2020