BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Dr Maurizio Pierini (CERN)
DTSTART:20201015T140000Z
DTEND:20201015T150000Z
DTSTAMP:20260422T212556Z
UID:OXML/1
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/1/">Doi
 ng more with less: Deep Learning for Physics  at the Large Hadron Collider
 </a>\nby Dr Maurizio Pierini (CERN) as part of Machine Learning and Physic
 s\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Guillaume Lample (Facebook)
DTSTART:20201022T140000Z
DTEND:20201022T150000Z
DTSTAMP:20260422T212556Z
UID:OXML/2
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/2/">Dee
 p Learning for Symbolic Mathematics</a>\nby Dr Guillaume Lample (Facebook)
  as part of Machine Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Max Tegmark (MIT)
DTSTART:20201029T150000Z
DTEND:20201029T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/3
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/3/">AI 
 for physics & physics for AI</a>\nby Prof Max Tegmark (MIT) as part of Mac
 hine Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Justin Sirignano (University of Oxford)
DTSTART:20201105T150000Z
DTEND:20201105T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/4/">Can
  Deep Learning Discover the Functional Form of PDEs from Data?</a>\nby Pro
 f Justin Sirignano (University of Oxford) as part of Machine Learning and 
 Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Giuseppe Carleo (EPFL)
DTSTART:20201112T150000Z
DTEND:20201112T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/5
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/5/">Man
 y-body quantum wave functions in the era of machine learning</a>\nby Prof 
 Giuseppe Carleo (EPFL) as part of Machine Learning and Physics\n\nAbstract
 : TBA\n
LOCATION:https://researchseminars.org/talk/OXML/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Victor Bapst (Google Deep Mind)
DTSTART:20201119T150000Z
DTEND:20201119T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/6/">Unv
 eiling the predictive power of static structure in glassy systems</a>\nby 
 Dr Victor Bapst (Google Deep Mind) as part of Machine Learning and Physics
 \n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/6/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Phiala Shanahan (MIT)
DTSTART:20201126T150000Z
DTEND:20201126T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/7/">Pro
 vably exact sampling for first-principles theoretical physics</a>\nby Prof
  Phiala Shanahan (MIT) as part of Machine Learning and Physics\n\nAbstract
 : TBA\n
LOCATION:https://researchseminars.org/talk/OXML/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Roger Melko (University of Waterloo)
DTSTART:20201203T150000Z
DTEND:20201203T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/8
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/8/">Rec
 onstructing quantum states with generative models</a>\nby Prof Roger Melko
  (University of Waterloo) as part of Machine Learning and Physics\n\nAbstr
 act: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Atilim Gunes Baydin (University of Oxford)
DTSTART:20210121T150000Z
DTEND:20210121T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/9
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/9/">Pro
 babilistic Programming for Inverse Problems in the Physical Sciences</a>\n
 by Dr Atilim Gunes Baydin (University of Oxford) as part of Machine Learni
 ng and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Jascha Sohl-Dickstein (Google Brain)
DTSTART:20210128T150000Z
DTEND:20210128T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/10
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/10/">Un
 derstanding overparameterized neural networks</a>\nby Dr Jascha Sohl-Dicks
 tein (Google Brain) as part of Machine Learning and Physics\n\nAbstract: T
 BA\n
LOCATION:https://researchseminars.org/talk/OXML/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Ard Louis (University of Oxford)
DTSTART:20210204T150000Z
DTEND:20210204T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/11
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/11/">De
 ep neural networks have an inbuilt Occam's razor</a>\nby Prof Ard Louis (U
 niversity of Oxford) as part of Machine Learning and Physics\n\nAbstract: 
 TBA\n
LOCATION:https://researchseminars.org/talk/OXML/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Sofia Vallecorsa (CERN)
DTSTART:20210211T150000Z
DTEND:20210211T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/12
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/12/">Qu
 antum Machine Learning in High Energy Physics</a>\nby Dr Sofia Vallecorsa 
 (CERN) as part of Machine Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Dr Michael Kagan (SLAC)
DTSTART:20210218T150000Z
DTEND:20210218T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/13/">Ge
 nerative Model Based Design Optimization and Unfolding</a>\nby Dr Michael 
 Kagan (SLAC) as part of Machine Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Lode Pollet (LMU Munich)
DTSTART:20210225T150000Z
DTEND:20210225T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/14
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/14/">Di
 scovering new phases of matter with unsupervised and interpretable support
  vector machines</a>\nby Prof Lode Pollet (LMU Munich) as part of Machine 
 Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof Terry Lyons (University of Oxford)
DTSTART:20210304T150000Z
DTEND:20210304T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/15
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/15/">Si
 gnatures\, trees\, and PDEs</a>\nby Prof Terry Lyons (University of Oxford
 ) as part of Machine Learning and Physics\n\nAbstract: TBA\n
LOCATION:https://researchseminars.org/talk/OXML/15/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Prof David Spergel (Princeton University)
DTSTART:20210311T150000Z
DTEND:20210311T160000Z
DTSTAMP:20260422T212556Z
UID:OXML/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OXML/16/">De
 termining the Universe's Initial Conditions</a>\nby Prof David Spergel (Pr
 inceton University) as part of Machine Learning and Physics\n\nAbstract: T
 BA\n
LOCATION:https://researchseminars.org/talk/OXML/16/
END:VEVENT
END:VCALENDAR