Efficient Learning Algorithms for Agents Mining Time-Changing Data Streams. - Lior Cohen; Gil Avrahami; Mark Last; Abraham Kandel (CIMCA/IAWTIC, 2006)

Info-fuzzy algorithms for mining dynamic data streams. - Lior Cohen; Gil Avrahami; Mark Last; Abraham Kandel (Appl. Soft Comput., 2008)

Real-time data mining of non-stationary data streams from sensor networks. - Lior Cohen; Gil Avrahami-Bakish; Mark Last; Abraham Kandel; Oscar Kipersztok (Inf. Fusion, 2008)

Identifying Laguerre-Gaussian Modes using Convolutional Neural Network. - Safura Sharifi; Sofia Brown; Irina Novikova; Eugeniy E. Mikhailov; Georgios Veronis; Jonathan Dowling; Yaser Banadaki; Elisha Siddiqui; Savannah Cuzzo; Narayan Bhusal; Lior Cohen; Austin Kalasky; et al. (ICMLA, 2019)

Laser Ranging Bathymetry Using a Photon-Number-Resolving Detector. - Lior Cohen; Daniel Istrati; Yoni Sher; Zev Brand; Hagai S. Eisenberg (Remote. Sens., 2022)

Deep learning for enhanced free-space optical communications. - Manon P. Bart; Nicholas J. Savino; Paras Regmi; Lior Cohen; Haleh Safavi; Harry C. Shaw; Sanjaya Lohani; Thomas A. Searles; Brian T. Kirby; Hwang Lee; Ryan T. Glasser (Mach. Learn. Sci. Technol., 2023)

Improving Token-Based World Models with Parallel Observation Prediction. - Lior Cohen; Kaixin Wang; Bingyi Kang; Shie Mannor (ICML, 2024)

M3: A Modular World Model over Streams of Tokens. - Lior Cohen; Kaixin Wang; Bingyi Kang; Uri Gadot; Shie Mannor (CoRR, 2025)