Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence. - Mathias Berglund; Tapani Raiko (ICLR (Workshop Poster), 2014)

Bidirectional Recurrent Neural Networks as Generative Models. - Mathias Berglund; Tapani Raiko; Mikko Honkala; Leo Kärkkäinen; Akos Vetek; Juha Karhunen (NIPS, 2015)

Semi-supervised Learning with Ladder Networks. - Antti Rasmus; Mathias Berglund; Mikko Honkala; Harri Valpola; Tapani Raiko (NIPS, 2015)

Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. - Mathias Berglund; Tapani Raiko; Mikko Honkala; Leo Kärkkäinen; Akos Vetek; Juha Karhunen (CoRR, 2015)

Techniques for Learning Binary Stochastic Feedforward Neural Networks. - Tapani Raiko; Mathias Berglund; Guillaume Alain; Laurent Dinh (ICLR (Poster), 2015)

Semi-Supervised Learning with Ladder Network. - Antti Rasmus; Harri Valpola; Mikko Honkala; Mathias Berglund; Tapani Raiko (CoRR, 2015)

Measuring the usefulness of hidden units in Boltzmann machines with mutual information. - Mathias Berglund; Tapani Raiko; KyungHyun Cho (Neural Networks, 2015)

Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence. - Mathias Berglund (ESANN, 2016)

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. - Jelena Luketina; Tapani Raiko; Mathias Berglund; Klaus Greff (ICML, 2016)

Tagger: Deep Unsupervised Perceptual Grouping. - Klaus Greff; Antti Rasmus; Mathias Berglund; Tele Hotloo Hao; Harri Valpola; Jürgen Schmidhuber (NIPS, 2016)

Unsupervised Networks, Stochasticity and Optimization in Deep Learning. - Mathias Berglund (2017)

Regularizing Trajectory Optimization with Denoising Autoencoders. - Rinu Boney; Norman Di Palo; Mathias Berglund; Alexander Ilin; Juho Kannala; Antti Rasmus; Harri Valpola (NeurIPS, 2019)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. - Guoli Yin; Haoping Bai; Shuang Ma; Feng Nan; Yanchao Sun; Zhaoyang Xu; Shen Ma; Jiarui Lu; Xiang Kong; Aonan Zhang; Dian Ang Yap; Yizhe Zhang 002; et al. (NAACL (Findings), 2025)