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X-ORIGINAL-URL:https://inpa.lbl.gov
X-WR-CALDESC:Events for INPA
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TZOFFSETFROM:-0800
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DTSTART:20180311T100000
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DTSTART:20181104T090000
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181102T120000
DTEND;TZID=America/Los_Angeles:20181102T130000
DTSTAMP:20260526T152219
CREATED:20181003T214654Z
LAST-MODIFIED:20181003T222849Z
UID:452-1541160000-1541163600@inpa.lbl.gov
SUMMARY:Marco Raveri (UChicago)
DESCRIPTION:TBA
URL:https://inpa.lbl.gov/event/marco-raveri-uchicago/
LOCATION:50A-5132- Sessler\, 50A-5132 Sessler Conference Room\, CA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181109T120000
DTEND;TZID=America/Los_Angeles:20181109T130000
DTSTAMP:20260526T152219
CREATED:20180917T155113Z
LAST-MODIFIED:20181107T200037Z
UID:432-1541764800-1541768400@inpa.lbl.gov
SUMMARY:Douglas Finkbeiner (Harvard) - Making neural net classifiers more robust and explainable: Lessons from Adversarial AI
DESCRIPTION:As deep neural nets achieve ever greater successes\, efforts to break them and learn about their failure modes are also ramping up. Security experts and malicious actors are interested in weaknesses per se\, and we scientists are more interested in what we can learn about robustness to inputs somewhat different from training data. I will give examples of attacks and defenses\, and talk about a measure of credibility at inference time.
URL:https://inpa.lbl.gov/event/douglas-finkbeiner-harvard/
LOCATION:50A-5132- Sessler\, 50A-5132 Sessler Conference Room\, CA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181116T120000
DTEND;TZID=America/Los_Angeles:20181116T130000
DTSTAMP:20260526T152219
CREATED:20180917T155219Z
LAST-MODIFIED:20181107T194052Z
UID:434-1542369600-1542373200@inpa.lbl.gov
SUMMARY:Andrej Dvornik (UNLV) - KiDS and biases
DESCRIPTION:The current ongoing large imaging surveys are an excellent tool for studying the origin and evolution of the Universe and the galaxy – dark matter connection\, using the weak gravitational lensing as the main probe. Using the predicting power of the halo model formalism\, the weak gravitational lensing (together with other large scale probes) can be used to constrain the origin of the scale dependence of the galaxy bias – the relation between the galaxies and the dark matter distribution\, as well as studying the dependence of the formation time of galaxies on their halo masses – so called assembly bias. In this talk I will present the KiDS survey and way it can be used to shine a light on the different aspects of galaxy-halo connection.
URL:https://inpa.lbl.gov/event/andrej-dvornik-unlv/
LOCATION:50A-5132- Sessler\, 50A-5132 Sessler Conference Room\, CA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181123T120000
DTEND;TZID=America/Los_Angeles:20181123T130000
DTSTAMP:20260526T152219
CREATED:20181017T175717Z
LAST-MODIFIED:20181017T175717Z
UID:455-1542974400-1542978000@inpa.lbl.gov
SUMMARY:Holiday
DESCRIPTION:
URL:https://inpa.lbl.gov/event/holiday-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20181130T120000
DTEND;TZID=America/Los_Angeles:20181130T130000
DTSTAMP:20260526T152219
CREATED:20180917T155355Z
LAST-MODIFIED:20181128T223200Z
UID:436-1543579200-1543582800@inpa.lbl.gov
SUMMARY:Simon Foreman (CITA\, Toronto) - Gravitational lensing of line intensity maps
DESCRIPTION:Gravitational lensing of the cosmic microwave background (CMB) has emerged as a powerful cosmological probe\, made possible by the development and characterization of nearly-optimal estimators for extracting the lensing signal from temperature and polarization maps. One can ask whether similar tools can be applied to upcoming “intensity maps” of emission lines at various wavelengths (e.g. 21cm). In this talk\, I will present recent work in this direction\, focusing in particular on the impact of nonlinear gravitational clustering on standard CMB lensing estimators when applied to intensity maps. I will show how these nonlinearities can provide a significant contaminant to lensing reconstruction\, but will also describe how this contamination can largely be mitigated by modifying the lensing estimator. Finally\, I will present estimates for the detectability of lensing in ongoing and future intensity mapping surveys\, and highlight related work on reconstructing large-angle information in galaxy surveys and CMB maps.
URL:https://inpa.lbl.gov/event/simon-foreman-cita-toronto/
LOCATION:50A-5132- Sessler\, 50A-5132 Sessler Conference Room\, CA
ORGANIZER;CN="Kawana Yancey":MAILTO:kyancey@lbl.gov
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