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Hermanni Hälvä

4 papers · 2020–2024 · 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

Venues

AISTATS (2) NeurIPS (1) UAI (1)

Top co-authors

Aapo Hyvärinen (4) Jonathan So (2) Hiroshi Morioka (1) Luc Lehéricy (1) Richard E. Turner (1) Yongjie Zhu (1) Sylvain Le Corff (1) Elisabeth Gassiat (1)

Research topics

Machine Learning (4) Core Methods (3) Data Science & Analytics (2) Deep Learning (2) Learning Types (2) Methods (2) Models (2) Artificial Intelligence (1) Bayesian & Probabilistic (1) Optimization & Theory (1)

Keywords

variational inference (2) nonlinear ica (2) unsupervised learning (2) non-stationary time series (1) expectation-maximization algorithm (1) hidden markov model (1) spatial data (1) deep generative model (1) inducing point (1) identifiability theory (1) t-process prior (1) mutual independence (1) nonlinear vector autoregressive (1) independent innovation analysis (1) feature learning (1) independent component analysis (1)

Papers

Identifiable Feature Learning for Spatial Data with Nonlinear ICA AISTATS 2024 Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NeurIPS 2021 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process AISTATS 2021 Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series UAI 2020