BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Vassar Math &amp; Stats Events Page - ECPv6.17.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://pages.vassar.edu/mathstats
X-WR-CALDESC:Events for Vassar Math &amp; Stats Events Page
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T170000
DTEND;TZID=America/New_York:20240207T180000
DTSTAMP:20240206T174810Z
CREATED:20240205T191543Z
LAST-MODIFIED:20240206T174810Z
UID:487-1707325200-1707328800@pages.vassar.edu
SUMMARY:(DSS Colloquium) Brenden Lake\, New York University
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Brenden Lake\, Assistant Professor of Psychology and Data Science at New York University\, on Wednesday February 7 at 5PM in Rocky 300.   \nTitle: Addressing two classic debates in cognitive science with deep learning \nAbstract: How can advances in machine learning advance our understanding of human development? In this talk\, I’ll use deep neural networks to address two classic debates: (1) How much language is learnable from sensory input? Using head-mounted video recordings from a single child\, we show how deep neural networks can acquire many word-referent mappings\, generalize to novel visual referents\, and achieve multi-modal alignment. (2) Can neural networks capture human-like systematic generalization? We address a 35-year-old argument that neural networks are not viable cognitive models because they lack systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Neural networks can achieve human-like systematic generalization when trained through meta-learning for compositionality\, a new method for optimizing compositional skills through practice. These findings emphasize the power of neural networks and their increasing capability for addressing long standing issues in cognitive science.
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-brenden-lake-new-york-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240208T170000
DTEND;TZID=America/New_York:20240208T180000
DTSTAMP:20240206T145959Z
CREATED:20231130T153902Z
LAST-MODIFIED:20240206T145959Z
UID:318-1707411600-1707415200@pages.vassar.edu
SUMMARY:(Asprey Lecture I) Laura DeMarco\, Harvard University
DESCRIPTION:Join us on Thursday February 8 at 5PM in Rocky 300 for the first of two Asprey Lecturers delivered by Professor Laura DeMarco. Harvard University. \nTitle: From the solar system to the Mandelbrot set \nAbstract: The field of dynamical systems has a long and fascinating history:  it originated with the study of planetary motion and has become a central part of mathematics today\, with many connections to algebra\, geometry\, and analysis.  In this talk\, I will present some of its historical development\, with emphasis on the subtle question of linearization and how that leads to deep and difficult problems that remain unsolved today.
URL:https://pages.vassar.edu/mathstats/event/asprey-lectures/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240209T150000
DTEND;TZID=America/New_York:20240209T160000
DTSTAMP:20240206T150038Z
CREATED:20240205T191054Z
LAST-MODIFIED:20240206T150038Z
UID:484-1707490800-1707494400@pages.vassar.edu
SUMMARY:(Asprey Lecture II)\, Laura DeMarco\, Harvard University
DESCRIPTION:Join us on Friday February 9 at 3PM in Rocky 300 for the second of two Asprey Lecturers delivered by Professor Laura DeMarco. Harvard University. \nTitle: The Mandelbrot set today: what we know and what we don’t know \nAbstract: One of the most famous–and still not fully understood–objects in mathematics is the Mandelbrot set.  By definition\, it is the set of complex numbers c for which the recursive sequence {c\, c^2+c\, (c^2+c)^2+c\, …}\, defined by x_1 = c and x_{n+1} = (x_n)^2+c\, is bounded.  But this set turns out to be rich and complicated and related to many different areas of mathematics.  I will present an overview of what’s known and what’s not known about the Mandelbrot set\, and I’ll describe recent work that (perhaps surprisingly) employs tools from arithmetic geometry to study these systems.  The new work is a collaboration with Myrto Mavraki.
URL:https://pages.vassar.edu/mathstats/event/asprey-lecture-ii-laura-demarco-harvard-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:Annual,Asprey
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240221T151500
DTEND;TZID=America/New_York:20240221T170000
DTSTAMP:20240212T171544Z
CREATED:20240205T190203Z
LAST-MODIFIED:20240212T171544Z
UID:475-1708528500-1708534800@pages.vassar.edu
SUMMARY:Integration Bee
DESCRIPTION:Join us for an integration bee on Friday February 21 at 3:15PM in Rocky 300.  Both students and faculty are welcome to sign up to compete or simply come to watch. It’ll be a fun\, low-stakes event aimed at building rapport within the department. Your participation would be greatly appreciated—please sign up here!
URL:https://pages.vassar.edu/mathstats/event/integration-bee/
LOCATION:Rockefeller Hall 300
CATEGORIES:Student
END:VEVENT
END:VCALENDAR