Mathias Berglund

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 7

Top Venues

CoRR

NIPS

ESANN

ICLR (Workshop Poster)

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

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, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR (2024)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. NeurIPS (2019)
Rinu Boney, Norman Di Palo, Mathias Berglund, Alexander Ilin, Juho Kannala, Antti Rasmus, Harri Valpola
Regularizing Trajectory Optimization with Denoising Autoencoders. CoRR (2019)
Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. ICML (2016)
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Harri Valpola, Jürgen Schmidhuber
Tagger: Deep Unsupervised Perceptual Grouping. NIPS (2016)
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola
Tagger: Deep Unsupervised Perceptual Grouping. CoRR (2016)
Mathias Berglund
Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence. ESANN (2016)
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko
Semi-supervised Learning with Ladder Networks. NIPS (2015)
Tapani Raiko, Mathias Berglund, Guillaume Alain, Laurent Dinh
Techniques for Learning Binary Stochastic Feedforward Neural Networks. ICLR (Poster) (2015)
Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. CoRR (2015)
Mathias Berglund, Tapani Raiko, KyungHyun Cho
Measuring the usefulness of hidden units in Boltzmann machines with mutual information. Neural Networks 64 (2015)
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. CoRR (2015)
Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, Tapani Raiko
Semi-Supervised Learning with Ladder Network. CoRR (2015)
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
Bidirectional Recurrent Neural Networks as Generative Models. NIPS (2015)
Mathias Berglund, Tapani Raiko
Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence. ICLR (Workshop Poster) (2014)
Mathias Berglund, Tapani Raiko, KyungHyun Cho
Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information. ICONIP (1) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mathias Berglund