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DTSTAMP:20250424T183253
DTSTART;TZID=America/Detroit:20250425T120000
DTEND;TZID=America/Detroit:20250425T130000
SUMMARY:Workshop / Seminar:Frontiers in Scientific Machine Learning Seminar 13: Statistical learning for Summary Statistics of Physics-based Model Outputs and their Correction and Probabilistic Outputs from Neural Networks applied to Super-resolution
DESCRIPTION:This is a hybrid seminar. Attendees can join online or at 2636 GGB (Breakfast and coffee will be provided)\nLink to join via Zoom: https://umich.zoom.us/j/97823527756?pwd=H01BbvtuG5q02Wzb8LJvhUnvijlAIe.1\n\nAbstract:\nIn the first part of this talk\, we will discuss summary statistics of physics-based model outputs and their correction with observational data.\nPhysics-based models capture broad-scale dynamics across various spatial and temporal scales\, they often face challenges such as modeling biases\, high computational costs\, along with large outputs that are challenging to manipulate. On the other hand\, observations capture localized variability but are typically sparse. This talk presents an innovative approach to address these challenges by utilizing summary statistics from physics-based model outputs and enhancing them with observational information via neural networks.\n\nIn the second part of the talk\, we will present neural networks with closed-form probabilistic loss that applied to super-resolution of surface wind speed. We will illustrate that the use of a closed-form probabilistic loss provides the neural network with a sampling capability and a spatial covariance for super-resolved wind fields.\n\nThese are joint work with Atlanta Chakraborty (NREL)\, Harrison Goldwyn (NREL)\, Daniel Getter (USC)\, Johann Rudi (Virginia Tech) and Mitchell Krock (University of Missouri)\n\nBio: Julie Bessac received her Ph.D. degree in 2014 in Applied Mathematics from the University of Rennes 1\, France. Between 2014 and 2023\, she was a post-doctoral appointee and a research scientist in the Mathematics and Computer Science Division at Argonne National Laboratory. She joined National Renewable Energy Laboratory in 2023 as a computational statistician. She is an adjunct professor at the Department of Statistics at Virginia Tech. Her research focuses on statistical and machine learning methods for modeling\, forecasting and uncertainty quantification for diverse applications: geophysical processes and their applications to energy systems\, computer science and nuclear physics.
UID:135130-21876338@events.umich.edu
URL:https://events.umich.edu/event/135130
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:data,Ai In Science And Engineering,Artificial Intelligence,big data,College Of Engineering,Machine Learning,North Campus,Statistics
LOCATION:GG Brown Laboratory - 2636
CONTACT:
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DTSTAMP:20260112T144046
DTSTART;TZID=America/Detroit:20250425T120000
DTEND;TZID=America/Detroit:20250425T123000
SUMMARY:Well-being:Heartfulness Guided Meditation
DESCRIPTION:Heartfulness Guided Meditation is a weekly\, drop-in program designed to help you Mental well-being. \n\nAll U-M students\, faculty\, and staff are welcome to participate in guided meditation practice with a trainer every Friday at noon over Zoom (details to join are provided below). No prior experience with meditation is required. \n\n*What will you learn?*\n\nThe guided meditation practice involves three simple steps: relaxation\, rejuvenation\, and meditation.\n\nRelaxation brings your body to a calm\, steady posture creating a stillness at the physical level\, and prepares the mind for meditation. We follow this with a rejuvenation method to detox the mind to let go of stress and complex emotions\, and will leave you feeling light and refreshed. Lastly\, learning to meditate by being mindful of your heart will connect you with yourself by listening to your heart’s voice. \n\n*Why Meditate?*\n\nWhile physical fitness keeps our bodies in shape\, meditation is an exercise for the mind and mental wellness. In addition to the measurable benefits mentally and physically\, many people benefit from an unquantifiable inner poise and harmony. \n\n*Please take Learn to Meditate session if you are new to the practice. These sessions are offered Monthly.* https://events.umich.edu/event/128708\n\n*Event Details*\n\nHeartfulness Guided Meditation \nFridays from 12-12:30 p.m. ET (except during university season days / holidays)\nJoin Via Zoom Meeting\nRegister to receive Passcode (see “Related links”\n\n\nThis wellness program is coordinated by ITS Teaching & Learning and provided at no cost by heartfulness.org.
UID:88544-21865086@events.umich.edu
URL:https://events.umich.edu/event/88544
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Free,Health & Wellness,Well-being
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250806T162329
DTSTART;TZID=America/Detroit:20250425T120000
DTEND;TZID=America/Detroit:20250425T124500
SUMMARY:Film Screening:Sea Monsters
DESCRIPTION:The film follows a curious and adventurous Dolichorhynchops – familiarly known as a ‘dolly’ – as she travels through the most dangerous oceans in history. Along the way\, she encounters long-necked plesiosaurs\, giant turtles\, enormous fish\, fierce sharks\, and the most dangerous sea monster of all– the mosasaur.
UID:121866-21875799@events.umich.edu
URL:https://events.umich.edu/event/121866
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:museums,Museum,natural history museum
LOCATION:Museum of Natural History
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250404T165459
DTSTART;TZID=America/Detroit:20250425T130000
DTEND;TZID=America/Detroit:20250425T170000
SUMMARY:Workshop / Seminar:MESA Love
DESCRIPTION:Join us in celebrating the end of year with food\, fun\, swag giveaways and more! \n\nMORE MESA EVENTS\nMESA events are open to all U-M students. Find more events at https://mesa.umich.edu/events-programs.
UID:134217-21873998@events.umich.edu
URL:https://events.umich.edu/event/134217
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Commencement,Graduation,Sessions
LOCATION:Michigan Union - Pendleton Ballroom
CONTACT:
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