Chang Rajani

According to our database, Chang Rajani authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2023

Co-imitation: Learning Design and Behaviour by Imitation.

Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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, Lauren Schatz, Maggie Kautz, Jennifer Lumbres, Alexander Rodack, Justin M. Knight, Kelsey Miller

CoRR, 2022

2021

Snapshot hyperspectral imaging using wide dilation networks.

Mikko E. Toivonen, Chang Rajani, Arto Klami

Mach. Vis. Appl., 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

Modeling Risky Choices in Unknown Environments.

Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami

Proceedings of the Asian Conference on Machine Learning, 2021

2020

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

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2018

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning.

Chang Rajani, Arto Klami, Ari Salmi, Timo Rauhala, Edward Hæggström, Petri Myllymäki

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Medicine Radar - a Tool for Exploring Online Health Discussions.

Krista Lagus, Minna Ruckenstein, Atte Juvonen, Chang Rajani

Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference, 2018