[et_pb_section fb_built=”1″ custom_padding_last_edited=”off|desktop” admin_label=”Hero” _builder_version=”4.24.0″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_stops=”#ffffff 0%|#e7edf9 100%” background_color_gradient_start=”#ffffff” background_color_gradient_end=”#e7edf9″ custom_margin=”|||” custom_padding=”1px||22px|||” custom_padding_tablet=”130px||130px|” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” background_size=”initial” background_position=”top_left” background_repeat=”repeat” min_height=”185.8px” custom_margin=”-5px|auto||auto||” custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font=”||||||||” text_font_size=”20px” text_line_height=”1.8em” text_orientation=”center” max_width=”700px” module_alignment=”center” custom_margin=”1px|||||” custom_padding=”||0px|||” animation_style=”flip” animation_direction=”top” animation_delay=”100ms” global_colors_info=”{}”]<\/p>\n
On June 4-5, 2026<\/strong> the 5th workshop on Mathematics and AI – connecting the mathematics clusters<\/strong> is<\/span> taking place at the Universtity of Groningen<\/strong>.<\/p>\n Whether you\u2019re a researcher, student, or industry professional, this workshop is a great opportunity to learn about the latest developments in AI and mathematics, and connect with peers and experts in the field.<\/p>\n Over the course of two days, thematic sessions will highlight connections between the different clusters and provide opportunities for networking and collaboration.<\/p>\n If you have any questions about the workshop, please do not hesitate to contact us at AIM26@rug.nl.\u00a0<\/p>\n We hope to see many of you in Groningen!<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” custom_padding=”3px||2px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Registration” _builder_version=”4.24.0″ _module_preset=”default” title_level=”h2″ custom_margin=”||-16px|||” custom_padding=”||3px|||” global_colors_info=”{}”][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.24.0″ _module_preset=”default” min_height=”99.4px” custom_margin=”|auto|-47px|auto||” custom_padding=”3px||0px|||” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font_size=”18px” custom_margin=”-14px|||||” global_colors_info=”{}”]Registration is now open. The participation fee is \u20ac20 per day, and attendance at the conference dinner is optional at a cost of \u20ac50. All fees are payable upon registration.<\/p>\n The registration deadline is May 4th.[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”https:\/\/santu.com\/dyj042″ url_new_window=”on” button_text=”Register” _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.24.0″ _module_preset=”default” custom_padding=”5px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.24.0″ _module_preset=”default” custom_margin=”-1px|auto||auto||” custom_padding=”61px||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.24.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_heading title=”Travel Directions” _builder_version=”4.24.0″ _module_preset=”default” title_level=”h2″ min_height=”21px” custom_margin=”||1px|||” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font_size=”18px” global_colors_info=”{}”]<\/p>\n You can find information about travel directions, hotels, and other practical details here<\/a>.<\/p>\n [\/et_pb_text][et_pb_heading title=”Keynote Speakers” _builder_version=”4.24.0″ _module_preset=”default” title_level=”h2″ custom_margin=”||1px|||” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font_size=”18px” min_height=”72.5px” custom_margin=”||-1px|||” custom_padding=”||0px|||” global_colors_info=”{}”]<\/p>\n chair: Tim van Erven<\/a> (University of Amsterdam)<\/p>\n The workshop will feature plenary talks by<\/p>\n [\/et_pb_text][et_pb_heading title=”Four Thematic Sessions” _builder_version=”4.24.0″ _module_preset=”default” title_level=”h2″ title_text_align=”left” custom_margin=”||1px|||” global_colors_info=”{}”][\/et_pb_heading][et_pb_text _builder_version=”4.24.0″ _module_preset=”default” text_font_size=”18px” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n 1. Graph Signal Processing and AI<\/strong>, session chair: Palina Salanevich<\/a> 2. Sequential Decision Making<\/strong>, session chair: Wouter M. Koolen<\/a> 3. Inverse Problems and Dynamical Systems<\/strong>, session chair: Kerstin Bunte<\/a>\u00a0\n
Graph signal processing (GSP) is a new and thriving area in mathematical data science that aims to develop analysis tools and reconstruction techniques for data supported on graphs, including social and economic networks, brain imaging, epidemiology, and traffic networks. In this session, we will discuss how the tools developed in GSP can be applied to process, analyze, and visualize large-scale structured data in machine learning.<\/p>\n
Sequential decision making is a thread connecting many areas of learning theory, including online optimization, active statistical testing, bandits, reinforcement learning, solving of games.<\/p>\n
Inverse problems and dynamical systems focus on reconstructing and understanding evolving processes from limited or noisy data. Inverse problems infer hidden parameters from observations, while dynamical systems describe how those parameters govern time-dependent behaviour. This session explores how combining these fields with modern AI techniques enables more accurate prediction, robust control, and deeper analysis of complex real-world phenomena.<\/p>\n