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DTSTART;TZID=America/New_York:20210503T120000
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SUMMARY:PSOC Webinar: “Revisiting the Reciprocal Mechanical Interactions Between Cancers and Tissue“ (Bo Sun)
DESCRIPTION:Title: “Revisiting the Reciprocal Mechanical Interactions between Cancers and Tissue”\n \nPhysical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EDT) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-bo-sun/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210503T150000
DTEND;TZID=America/New_York:20210503T160000
DTSTAMP:20260407T002559
CREATED:20210426T195420Z
LAST-MODIFIED:20210426T195420Z
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SUMMARY:ESE Seminar: "Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories"
DESCRIPTION:Reinforcement learning (RL)\, which is frequently modeled as sequential learning and decision making in the face of uncertainty\, is garnering growing interest in recent years due to its remarkable success in practice. In contemporary RL applications\, it is increasingly more common to encounter environments with prohibitively large state and action space\, thus imposing stringent requirements on the sample and computational efficiency of the RL algorithms in use. Despite the empirical success\, however\, the theoretical underpinnings for many popular RL algorithms remain highly inadequate even for the tabular setting. \nIn this talk\, we present two vignettes regarding the effectiveness of RL algorithms. The first vignette demonstrates that a perturbed model-based RL approach is minimax optimal under a generative model\, without suffering from a sample size barrier that was present in all past work. The second vignette covers policy optimization in reinforcement learning. On the one hand\, we demonstrate that the popular softmax policy gradient method can take exponential time to converge; on the other hand\, employing natural policy gradients and enforcing entropy regularization provably achieve fast global convergence. These results cover two distinctive RL paradigms\, and might shed light on the efficacy of these algorithms in more complicated scenarios. \nFor the seminar link\, email Danielle T. Kopicko at dtadros@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-demystifying-the-efficiency-of-reinforcement-learning-two-recent-stories/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T093000
DTEND;TZID=America/New_York:20210507T121500
DTSTAMP:20260407T002559
CREATED:20210430T140232Z
LAST-MODIFIED:20210430T140232Z
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SUMMARY:May 2021 Robotics Master’s Thesis Presentations
DESCRIPTION:9:30am – Welcome from Ani Hsieh \n9:35am – Weiyu Du\n“Learning Human Affordance in the Wild”\nAdvised by: Jianbo Shi \n9:55am – Jie Min\n“Instance-aware imagesuper-resolution”\nAdvised by: Jianbo Shi \n10:15am – Shenghao Zhou\n“Image Synthesis with Latent Space Embedding”\nAdvised by: Jianbo Shi \n10:35am – Jun Wang\n“Model Based Robust SemanticSegmentation”\nAdvised by: George Pappas and HamedHassani \n10:55am – Nicole Chiou\n“Cross-Domain Transfer Learning withMulti-Task Learning for Cardiac  Arrhythmia Classification”\nAdvised by: Rahul Mangharam (ROBOAdvisor: Eric Eaton) \n11:15am – Jianxiong Cai\n“Deep Hypothesis Testing Network for Monocular Time-to-collision Prediction with Front-end Spatial-Temporal Transformation”\nAdvised by: CJ Taylor \n11:35am – Brandon Gonzalez\n“Exploring Development of NovelSensor Systems for Occupancy Detection”\nAdvised by: CJ Taylor and MadhuAnnapragada \n11:55am – Adarsh Kulkarni\n“Deep Learning of FootstepPlanning for Legged Robots on Unstructured Terrain”\nAdvised by: CJ Taylor \n12:15pm- End \nJoin the Robotics Master’s Thesis Presentations through Zoom: \nZoom Link: https://upenn.zoom.us/j/99255734129?pwd=U1lQSlpYMmQzaENrbzJHZnJCV2xidz09\nMeeting ID: 992 5573 4129\nPasscode: 465092
URL:https://seasevents.nmsdev7.com/event/may-2021-robotics-masters-thesis-presentations/
LOCATION:Zoom
CATEGORIES:Master's
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T133000
DTEND;TZID=America/New_York:20210507T150000
DTSTAMP:20260407T002559
CREATED:20210420T203230Z
LAST-MODIFIED:20210420T203230Z
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SUMMARY:ODEI Spotlight: Conversations with GABE about our Classrooms and Diversity
DESCRIPTION:This event will have two sessions. You are encouraged to attend both. Each session is 45 minutes long. The first session is for students only\, and it provides a platform for students to discuss openly about factors that make graduate school difficult. The second session is a moderated Q&A. This session aims to acquaint students with BE faculty members passionate about advancing the department’s diversity and inclusion efforts. Panelists will give a quick introduction to who they are and why diversity and inclusion is important to them. We would also discuss initiatives that the BE program and school of engineering have implemented addressing diversity and inclusion (removal of GRE requirement\, formation of a DEI/DE committee\, etc.). Finally\, some potential topic of conversations: \n\nHow has engaging diverse students in the virtual environment been similar or different for you as faculty? How can engagement be encouraged?\nWhat are the core issues of diversity and inclusion (from the perspective of faculty members)\, and what steps can be taken to address them?\nInternational students are an important part of the Penn Engineering Community. How is the bioengineering department assisting their inclusion?\n\nZoom: https://upenn.zoom.us/j/99110942740
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-conversations-with-gabe-about-our-classrooms-and-diversity/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T170000
DTEND;TZID=America/New_York:20210507T180000
DTSTAMP:20260407T002559
CREATED:20210406T132518Z
LAST-MODIFIED:20210406T132518Z
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SUMMARY:ODEI Spotlight: Lavender Graduation
DESCRIPTION:Please note that this event is only open to students graduating from the University of Pennsylvania. You are welcome to participate even if you were not actively involved with the Penn LGBT Center or any of the LGBTQ+ student organizations. We still want to recognize your accomplishments! \nRegistration Link: https://upenn.co1.qualtrics.com/jfe/form/SV_eeQ0rQM2jc1D7IG
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-lavender-graduation/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210508T120000
DTEND;TZID=America/New_York:20210508T130000
DTSTAMP:20260407T002559
CREATED:20210507T190237Z
LAST-MODIFIED:20210507T190237Z
UID:10006782-1620475200-1620478800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Greenfield Intercultural Center\, Honoring our Graduates (Virtual Event)
DESCRIPTION:Join us in honoring our Class of 2021 Greenfield Intercultural Center graduates.\nFamily\, friends\, partners\, and mentors are all welcome! \nSATURDAY\, MAY 8\, 2021 | 12:00 – 1:00 P.M. EDT\nRSVP: https://bit.ly/Honoring2021Grad
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-greenfield-intercultural-center-honoring-our-graduates-virtual-event/
LOCATION:PA
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