Medicine Radar - a Tool for Exploring Online Health Discussions. - Krista Lagus; Minna Ruckenstein; Atte Juvonen; Chang Rajani (DHN, 2018)

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning. - Chang Rajani; Arto Klami; Ari Salmi; Timo Rauhala; Edward Hæggström; Petri Myllymäki (MLSP, 2018)

Sensor Placement for Spatial Gaussian Processes with Integral Observations. - Krista Longi; Chang Rajani; Tom Sillanpää; Joni Mäkinen; Timo Rauhala; Ari Salmi; Edward Hæggström; Arto Klami (UAI, 2020)

Modeling Risky Choices in Unknown Environments. - Ville Tanskanen; Chang Rajani; Homayun Afrabandpey; Aini Putkonen; Aurélien Nioche; Arto Klami (ACML, 2021)

Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum. - Mikko E. Toivonen; Topi Talvitie; Chang Rajani; Arto Klami (J. Imaging, 2021)

Snapshot hyperspectral imaging using wide dilation networks. - Mikko E. Toivonen; Chang Rajani; Arto Klami (Mach. Vis. Appl., 2021)

Towards on-sky adaptive optics control using reinforcement learning. - Jalo Nousiainen; Chang Rajani; Markus Kasper; Tapio Helin; Sebastiaan Y. Haffert; Christophe Vérinaud; Jared R. Males; Kyle Van Gorkom; Laird M. Close; Joseph D. Long; Alexander D. Hedglen; Olivier Guyon; et al. (CoRR, 2022)

Co-imitation: Learning Design and Behaviour by Imitation. - Chang Rajani; Karol Arndt; David Blanco Mulero; Kevin Sebastian Luck; Ville Kyrki (AAAI, 2023)

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control. - Jalo Nousiainen; Byron Engler; Markus Kasper; Chang Rajani; Tapio Helin; Cédric T. Heritier; Sascha P. Quanz; Adrian M. Glauser (CoRR, 2024)

Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations. - Ville Tanskanen; Chang Rajani; Perttu Hämäläinen; Christian Guckelsberger; Arto Klami (Trans. Mach. Learn. Res., 2024)

Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material Processing. - Giulio Masinelli; Chang Rajani; Patrik Hoffmann; Kilian Wasmer; David Atienza (CoRR, 2025)