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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20261014T095112
DTSTART;TZID=America/Detroit:20261023T150000
DTEND;TZID=America/Detroit:20261023T160000
SUMMARY:Lecture / Discussion:AIM Seminar: How voting goes wrong\, and how it can go right: the evolution of collective intelligence
DESCRIPTION:Abstract: Voting sometimes works well. A crowd's average guess is often better than any individual guess. But voting can also fail\, producing a biased outcome or no decision at all. I will discuss natural mechanisms that cause each of these outcomes\, in groups whose members observe other voters and learn by imitating one another.\n\nI will first describe a voter game\, played online by 2\,520 people\, in which two parties of equal size compete to reach a supermajority. The structure of who sees whose voting intentions\, which we call information gerrymandering\, can bias the outcome toward one party\, even when both parties are the same size and every player has the same influence. When members of both parties see mainly their own party's intentions\, most groups end in deadlock.\n\nI will then ask what individual reward scheme allows a population of self-interested imitators\, each observing only part of a problem\, to evolve accurate collective decisions. For linear prediction problems\, rewarding individuals for their own accuracy eliminates the diversity of opinions a group needs. Rewarding those whose opinions reduce the collective error provably increases accuracy\, until the group predicts perfectly. For more realistic non-linear decisions\, a single majority vote cannot produce accurate decisions under any reward scheme. Voting in layers\, with rewards paid only to individuals who are pivotal at every layer above them\, provably allows a population to evolve accurate decisions. The evolved population is equivalent to a multi-layer perceptron in machine learning\, and the reward for pivotality corresponds to credit assignment that machines compute through backpropagation. These results therefore provide a naturalistic\, evolutionary account of collective in intelligence in humans and machines.\n\nContact: Naoki Masuda
UID:148879-21905041@events.umich.edu
URL:https://events.umich.edu/event/148879
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260923T090325
DTSTART;TZID=America/Detroit:20261027T160000
DTEND;TZID=America/Detroit:20261027T170000
SUMMARY:Lecture / Discussion:Colloquium: How to achieve quantum advantage?
DESCRIPTION:The development of error-corrected quantum computers raises the prospect of quantum advantages in scientific computation. Which problems are likely to benefit\, and what will it take to realize these advantages? I will first discuss basic quantum algorithm concepts and some criteria for comparing quantum and classical computation. I will then focus on eigenvalue problems\, where improving the precision of an approximate solution offers one possible route to quantum advantage. Recent advances allow quantum eigensolvers to use few auxiliary qubits and short coherent evolutions\, with near-optimal dependence on the target precision. I will introduce these developments and a method for estimating multiple eigenvalues together with their multiplicities. Most of the presentation is intended to be accessible to a broad mathematical audience without prior background in quantum computation.
UID:148250-21903442@events.umich.edu
URL:https://events.umich.edu/event/148250
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics,Applied Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260922T120244
DTSTART;TZID=America/Detroit:20261030T150000
DTEND;TZID=America/Detroit:20261030T160000
SUMMARY:Lecture / Discussion:AIM Seminar: Programmable Collective Dynamics in Active Matter and Robot Swarms
DESCRIPTION:Abstract:  Collective systems are able to exhibit complex global dynamics through relatively simple local interactions\, and they give us a powerful connection between nonequilibrium physics\, active matter\, and robotics. In this talk\, I will present our work on understanding and controlling collective behavior across theoretical and experimental systems. I will first discuss experimental work involving magnetic microrobot collectives in which competing pairwise interactions enable reconfiguration between distinct states\, locomotion\, and environmental interactions. And when heterogeneity and asymmetric interactions are introduced\, they can be used to program self-organization and generate various collective behaviors that include phase separation\, morphology changes\, and object manipulation. At the more theoretical level\, I will discuss swarmalators\, which are agents that simultaneously swarm and synchronize\, and I will show how chirality\, heterogeneity\, multiple internal phases\, and nonreciprocal interactions can enable fascinating and non-intuitive collective states\, as well as be exploited to systematically control the collective to exhibit desired shape formation\, navigation\, and object manipulation\, such that principles from active matter can be used for programmable collective robotic systems.\n\n\nContact:  Silas Alben
UID:148880-21905042@events.umich.edu
URL:https://events.umich.edu/event/148880
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261009T150233
DTSTART;TZID=America/Detroit:20261106T150000
DTEND;TZID=America/Detroit:20261106T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  The Geometry of Diffusion Generation: A Log-Density Ridge Perspective
DESCRIPTION:Abstract:  Diffusion models generate data by gradually transforming noise into structured samples. When these samples differ from the training examples\, what determines their geometric organization? In this talk\, I will present a framework based on log-density ridges of the smoothed empirical distribution. These evolving structures provide a geometric reference for analyzing generation relative to a finite training set. I will describe a reach–align–slide mechanism in reverse diffusion: samples enter a ridge neighborhood\, approach the ridge in normal directions\, and move along it relative to nearby training data. Our analysis relates alignment and local tangential motion to directional components of the learned denoising error\, connecting training error to generation geometry. This perspective helps explain how generated samples can organize around structures induced by the data while differing from individual training examples. Synthetic examples and MNIST latent-space experiments illustrate the predicted behavior. The talk will introduce the necessary background on diffusion models and log-density ridges.\n\nThis talk is based on joint work with Yitong Qiu and Molei Tao\, recently accepted at NeurIPS 2026.\n\nContact:  Zhiyan Ding
UID:148881-21905043@events.umich.edu
URL:https://events.umich.edu/event/148881
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132053
DTSTART;TZID=America/Detroit:20261113T150000
DTEND;TZID=America/Detroit:20261113T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Title TBA
DESCRIPTION:Abstract: TBA\n\nContact: Ian Tobasco
UID:148882-21905044@events.umich.edu
URL:https://events.umich.edu/event/148882
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132120
DTSTART;TZID=America/Detroit:20261120T150000
DTEND;TZID=America/Detroit:20261120T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Title TBA
DESCRIPTION:Abstract:  TBA\n\nContact:  Zhiyan Ding
UID:148883-21905045@events.umich.edu
URL:https://events.umich.edu/event/148883
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20261007T133418
DTSTART;TZID=America/Detroit:20261204T150000
DTEND;TZID=America/Detroit:20261204T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Open Slot
DESCRIPTION:Abstract:  TBA\n\nContact:  Ibrahim Ekren
UID:148884-21905046@events.umich.edu
URL:https://events.umich.edu/event/148884
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132204
DTSTART;TZID=America/Detroit:20261211T150000
DTEND;TZID=America/Detroit:20261211T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Open Slot
DESCRIPTION:Abstract:  TBA\n\nContact:  TBA
UID:148885-21905047@events.umich.edu
URL:https://events.umich.edu/event/148885
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132416
DTSTART;TZID=America/Detroit:20270219T150000
DTEND;TZID=America/Detroit:20270219T160000
SUMMARY:Workshop / Seminar:AIM Seminar:  Title TBA
DESCRIPTION:Abstract:  TBA\n\nContact:  ????
UID:151603-21911814@events.umich.edu
URL:https://events.umich.edu/event/151603
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132451
DTSTART;TZID=America/Detroit:20270226T150000
DTEND;TZID=America/Detroit:20270226T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Title TBA
DESCRIPTION:Abstract: TBA\n\nContact: Ian Tobasco
UID:151839-21912247@events.umich.edu
URL:https://events.umich.edu/event/151839
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132520
DTSTART;TZID=America/Detroit:20270416T150000
DTEND;TZID=America/Detroit:20270416T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Title TBA
DESCRIPTION:Abstract: TBA\n\nContact: Gokul Nair
UID:152244-21913427@events.umich.edu
URL:https://events.umich.edu/event/152244
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260920T132613
DTSTART;TZID=America/Detroit:20270423T150000
DTEND;TZID=America/Detroit:20270423T160000
SUMMARY:Workshop / Seminar:AIM Seminar:  Title TBA
DESCRIPTION:Abstract:  TBA\n\nContact:  ????
UID:151605-21911817@events.umich.edu
URL:https://events.umich.edu/event/151605
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics,Mathematics
LOCATION:East Hall
CONTACT:
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