Norwegian version
Hugo Lewi Hammer

Hugo Lewi Hammer


Hammer has a master in industrial mathematics from 2003 and a PhD in computational statistics from 2008. His main research interests are within improving reliability and transparency of machine learning, reinforcement learning and deep learning models by developing methods within model interpretation, uncertainty quantification, robust statistics and causal inference.

Fields of study

Academic disciplines


Subject areas

Bayesian statistics   Regression   Artificial intelligence   Machine learning   Applied statistics   Stochastic simulation   Big Data



Research projects

Scientific publications

Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael ; Hammer, Hugo Lewi (2024). Efficient Estimation of Generative Models Using Tukey Depth. Algorithms. Vol. 17.

Svennevik, Hanna; Hicks, Steven; Riegler, Michael ; Storelvmo, Trude; Hammer, Hugo Lewi (2024). A dataset for predicting cloud cover over Europe. 6 p. Scientific Data. Vol. 11.

Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael ; Hammer, Hugo Lewi (2023). Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos. 21 p. Big Data and Cognitive Computing. Vol. 7.

Thunold, Håvard Horgen; Riegler, Michael ; Yazidi, Anis ; Hammer, Hugo Lewi (2023). A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering. 18 p. Diagnostics (Basel). Vol. 13.

Tveitstøl, Thomas; Tveter, Mats; Pérez Teseyra, Ana Silvina; Hatlestad-Hall, Christoffer; Yazidi, Anis ; Hammer, Hugo Lewi ; Haraldsen, Ira Hebold (2023). Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. Frontiers in Neuroinformatics. Vol. 17.

Storås, Andrea; Riegler, Michael Alexander ; Haugen, Trine B. ; Thambawita, Vajira L B; Hicks, Steven; Hammer, Hugo Lewi ; Kakulavarapu, Radhika; Halvorsen, Pål ; Stensen, Mette Haug (2023). Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure. Zouganeli, Evi; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Lind, Pedro (Ed.). Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers. Springer Nature.

Boeker, Matthias; Jakobsen, Petter; Riegler, Michael ; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål ; Hammer, Hugo Lewi (2023). Affect Recognition in Muscular Response Signals. 14 p. IEEE Access. Vol. 11.

Hammer, Hugo Lewi ; Riegler, Michael ; Tjelmeland, Håkon (2023). Approximate Bayesian Inference Based on Expected Evaluations. 22 p. Bayesian Analysis.

Sheshkal, Sajad Amouei; Riegler, Michael ; Hammer, Hugo Lewi (2023). ML-Peaks: Chip-seq peak detection pipeline using machine learning techniques. Placidi, Giuseppe; González, Alejandro Rodríguez; Sicilia, Rosa; Spiliopoulou, Myra; Almeida, João Rafael; Andrades, José Alberto Benítez (Ed.). Proceedings of the 2023 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS). IEEE conference proceedings.

Thambawita, Vajira L B; Hicks, Steven; Storås, Andrea; Nguyen, Thu; Andersen, Jorunn Marie ; Witczak, Oliwia ; Haugen, Trine B. ; Hammer, Hugo Lewi ; Halvorsen, Pål ; Riegler, Michael Alexander (2023). VISEM-Tracking, a human spermatozoa tracking dataset. Scientific Data.

These publications are obtained from Cristin. The list may be incomplete