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    "141325-21901499":
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        "date_start":"2026-05-01",
        "date_end":"2026-05-01",
        "time_start":"13:00:00",
        "time_end":"13:45:00",
        "time_zone":"America\/Detroit",
        "event_title":"Sky Tonight",
        "occurrence_title":"",
        "combined_title":"Sky Tonight",
        "event_subtitle":"",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"A live presentation on what to find in the sky tonight and for the coming few weeks. This presentation includes how to find the cardinal directions with the North Star, current and upcoming constellations, visible planets, a few deep sky objects depending on the season, and other interesting astronomical visualizations. If you want to be able to look up from your own backyard and know what to look for, this is the show for you.",
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        "building_id":"1005169",
        "building_name":"Museum of Natural History",
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        "location_name":"Museum of Natural History",
        "has_livestream":0,
        "cost":"Tickets are $8 and are available in the museum store on the day of the show.",
        "tags":["Undergraduate","Space","Science","Prospective Undergraduate Students","Planetarium","Natural Sciences","natural history museum","museums","Museum","Family","Children","Astronomy"],
        "website":"https:\/\/lsa.umich.edu\/ummnh\/visitors\/planetarium-dome-theater.html#view=week",
        "sponsors":[
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                "group_name":"Planetarium & Dome Theater at the Museum of Natural History",
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        "event_title":"Earth and Environmental Sciences Graduation Ceremony 2026",
        "occurrence_title":"",
        "combined_title":"Earth and Environmental Sciences Graduation Ceremony 2026: Dr. Andrea Dutton",
        "event_subtitle":"Dr. Andrea Dutton",
        "event_type":"Ceremony \/ Service",
        "event_type_id":"3",
        "description":"The University of Michigan's Department of Earth and Environmental Sciences invites graduates and their guests to a graduation ceremony in honor of the 2025-2026 graduates. Tickets are required for graduates and their guests.\n\nFriday, May 1, 2026\n1:30pm - 3:00pm\nMendelssohn Theatre\n\nIn addition to recognizing our graduates, there will be an address from Earth alum Dr. Andrea Dutton. \n\nDr. Dutton holds the Helen Jupnik Endowed Research Professorship in the Department of Geoscience at the University of Wisconsin-Madison and is also appointed in the UW-Madison Center for Climatic Research. She is a carbonate geochemist and sedimentologist with interests in research questions pertaining to paleoclimate and paleoceanography. Andrea has held leadership positions in PALSEA, the PAGES Working Group on Quaternary Interglacials, the NASEM CORES panel, and the Geological Society of America Geochronology Division. She is a MacArthur Fellow, a U.S. Fulbright Scholar, and a Fellow of the Geological Society of America.",
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        "building_name":"Lydia Mendelssohn Theatre",
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        "location_name":"Lydia Mendelssohn Theatre",
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        "tags":["Earth And Environmental Sciences"],
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                "website":"http:\/\/www.lsa.umich.edu\/earth"                }                    ],
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        "time_zone":"America\/Detroit",
        "event_title":"2026 Ph.D. Connections Career Conference",
        "occurrence_title":"Career Compass: Discovering Your Professional Purpose",
        "combined_title":"2026 Ph.D. Connections Career Conference: Multiple conference events and sessions: Career Compass: Discovering Your Professional Purpose",
        "event_subtitle":"Multiple conference events and sessions",
        "event_type":"Conference \/ Symposium",
        "event_type_id":"5",
        "description":"During Ph.D. Connections, participants will be able to learn from industry experts about an array of careers in an interactive and supportive environment.\n\nThe goals of Ph.D. Connections are to enable students and postdocs to:\n\nIncrease Awareness: Discover careers available to Ph.D. holders in a variety of industries and sectors.\nDevelop Skills: Learn about skills and key competencies important in different industries.\nNetwork Effectively: Develop strategies and connections to explore careers and foster lifelong networking practice.\n\nPh.D. Connections is co-sponsored by the University Career Center, Rackham Graduate School, and the Office of Graduate and Postdoctoral Studies at the University of Michigan Medical School.\n\nRegistration Instructions: Please ensure that you have selected all the sessions that interest you before submitting your registration.",
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        "tags":["Rgs-events","Rgs Events","rackham graduate school","rackham","Sessions"],
        "website":"https:\/\/sessions.studentlife.umich.edu\/p\/track\/16731",
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                "group_id":"1140",
                "website":"http:\/\/careercenter.umich.edu"                },             {
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                "group_id":"1187",
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        "date_end":"2026-05-01",
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        "time_zone":"America\/Detroit",
        "event_title":"2026 RLL Commencement Ceremony",
        "occurrence_title":"",
        "combined_title":"2026 RLL Commencement Ceremony",
        "event_subtitle":"",
        "event_type":"Ceremony \/ Service",
        "event_type_id":"3",
        "description":"The University of Michigan's Department of Romance Languages & Literatures invites graduates and their guests to a commencement ceremony in honor of the 2025-2026 graduates. \n\nFriday, May 1st, 2026\n\n2:00pm - 3:30pm\n\nMichigan Theater\n\n603 E Liberty St, Ann Arbor, MI 48104",
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        "room":"",
        "location_name":"603 E Liberty St, Ann Arbor, MI 48104",
        "has_livestream":0,
        "cost":"",
        "tags":["Languages","Italian","French","Free","Community","Commencement","Celebration","Undergraduate","Spanish","Social","Romance Languages And Literatures","Portugese"],
        "website":"https:\/\/umich.qualtrics.com\/jfe\/form\/SV_295i7MynyiggOPA",
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        "datetime_modified":"20260427T133043",
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        "event_title":"Efficient Embedding and Generative Modeling of Hypergraphs",
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        "combined_title":"Efficient Embedding and Generative Modeling of Hypergraphs: Shihao Wu",
        "event_subtitle":"Shihao Wu",
        "event_type":"Lecture \/ Discussion",
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        "description":"Data that represent relations and interactions are ubiquitous in science, engineering, business, and medicine. Traditional analytical methods for relational data primarily focus on pairwise relations; however, real-world interactions often involve more than two entities and are inherently multi-way. In current practice, these multi-way interactions are typically projected into pairwise relations before analysis, which causes substantial information loss. Directly studying hypergraphs, which naturally encode general multi-way interactions, allows for more effective information extraction from such relational data.\n\nThis thesis develops efficient embedding and generative modeling frameworks for hypergraph data. The first part of the thesis introduces a general latent embedding framework that overcomes key limitations of existing hypergraph modeling methods. We establish identifiability of the latent embedding space and develop a likelihood-based estimator for the latent embeddings. We further derive consistency guarantees and asymptotic distributions for the parameter estimates, enabling efficient inference from an observed hypergraph. Building on these results, the second part of the thesis develops Denoising Diffused Embeddings (DDE), a generative architecture for hypergraphs that produces new hyperlinks not seen in the observed data. DDE connects discrete hyperlinks to a continuous latent space through a conditional hyperlink likelihood model and then reconstructs that space using a denoising diffusion process. Compared with existing generative models, DDE is computationally efficient to train and sample from, and it offers interpretability from the likelihood perspective. Our theoretical and empirical studies demonstrate its advantages as a general generative modeling framework. The third part of the thesis further extends this line of work to hypergraphs with hyperlink attributes. We propose ReLaSH, a generative framework that first learns a likelihood-based joint latent space for hyperlinks and their attributes and then reconstructs this space using a flexible distribution-free generator, enabling the generation of realistic synthetic attributed hypergraphs. We demonstrate the consistency and generalizability of ReLaSH through both theoretical analysis and simulation studies. Empirical results on a range of real-world datasets from diverse domains further demonstrate the strong performance of ReLaSH in comparison with other baselines, underscoring its broad utility and effectiveness in practical applications. Together, these results address core challenges in modeling multi-way interactions in relational data and illustrate how rigorous statistical modeling can contribute to building more efficient and trustworthy generative AI.",
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        "tags":["Dissertation"],
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