The Klarna Product Page Dataset: A Realistic Benchmark for Web Representation Learning. - Alexandra Hotti; Riccardo Sven Risuleo; Stefan Magureanu; Aref Moradi; Jens Lagergren (CoRR, 2021)

Learning with MISELBO: The Mixture Cookbook. - Oskar Kviman; Ricky Molén; Alexandra Hotti; Semih Kurt; Víctor Elvira; Jens Lagergren (CoRR, 2022)

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders. - Oskar Kviman; Ricky Molén; Alexandra Hotti; Semih Kurt; Víctor Elvira; Jens Lagergren (ICML, 2023)

Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds. - Alexandra Maria Hotti; Lennart Alexander Van der Goten; Jens Lagergren (AISTATS, 2024)

Efficient Mixture Learning in Black-Box Variational Inference. - Alexandra Hotti; Oskar Kviman; Ricky Molén; Víctor Elvira; Jens Lagergren (ICML, 2024)

Indirectly Parameterized Concrete Autoencoders. - Alfred Nilsson; Klas Wijk; Sai Bharath Chandra Gutha; Erik Englesson; Alexandra Hotti; Carlo Saccardi; Oskar Kviman; Jens Lagergren; Ricardo Vinuesa; Hossein Azizpour (ICML, 2024)

The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models. - Alexandra Hotti; Riccardo Sven Risuleo; Stefan Magureanu; Aref Moradi; Jens Lagergren (Trans. Mach. Learn. Res., 2024)