NASA Formal Methods 2023
Tue 16 - Thu 18 May 2023
Houston, Texas, United States
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NASA Formal Methods 2023 (
series
) /
NFM 2023
/
Formalizing Piecewise Affine Activation Functions of Neural Networks in Coq
Who
Kim Völlinger
,
Andrei Aleksandrov
Track
NASA Formal Methods 2023 NFM
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When
Tue 16 May 2023 16:25 - 16:50
-
Machine Learning #2
Chair(s):
Swarat Chaudhuri
Kim Völlinger
Technische Universität Berlin
Germany
Andrei Aleksandrov
Technische Universität Berlin
Germany
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(GMT-09:30) Marquesas Islands
(GMT-09:00) Gambier Islands
(GMT-08:00) Alaska
(GMT-07:00) Tijuana, Baja California
(GMT-08:00) Pitcairn Islands
(GMT-07:00) Pacific Time (US & Canada)
(GMT-06:00) Mountain Time (US & Canada)
(GMT-06:00) Chihuahua, La Paz, Mazatlan
(GMT-07:00) Arizona
(GMT-06:00) Saskatchewan, Central America
(GMT-05:00) Guadalajara, Mexico City, Monterrey
(GMT-06:00) Easter Island
(GMT-05:00) Central Time (US & Canada)
(GMT-04:00) Eastern Time (US & Canada)
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(GMT-03:00) Brasilia, Distrito Federal, Brazil
(GMT-02:00) Mid-Atlantic
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(GMT) Azores
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(GMT+01:00) Belfast
(GMT+01:00) Dublin
(GMT+01:00) Lisbon
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(GMT+03:00) Beirut
(GMT+02:00) Cairo
(GMT+03:00) Gaza
(GMT+02:00) Harare, Pretoria
(GMT+03:00) Jerusalem
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Session Program
Tue 16 May
Displayed time zone:
Central Time (US & Canada)
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16:00 - 17:15
Machine Learning #2
NFM 2023
Chair(s):
Swarat Chaudhuri
University of Texas at Austin
16:00
25m
Talk
Learning Symbolic Timed Models from Concrete Timed Data
NFM 2023
Simon Dierl
TU Dortmund
,
Falk Howar
TU Clausthal / IPSSE
,
Sean Kauffman
Aalborg University
,
Martin Kristjansen
Aalborg University
,
Kim Larsen
Aalborg University
,
Florian Lorber
Aalborg University
,
Malte Mauritz
TU Dortmund
16:25
25m
Talk
Formalizing Piecewise Affine Activation Functions of Neural Networks in Coq
NFM 2023
Kim Völlinger
Technische Universität Berlin
,
Andrei Aleksandrov
Technische Universität Berlin
16:50
25m
Talk
Strategy Synthesis in Markov Decision Processes Under Limited Sampling Access
NFM 2023
Christel Baier
TU Dresden, Germany
,
Clemens Dubslaff
Eindhoven University of Technology
,
Patrick Wienhöft
TU Dresden, Germany
,
Stefan J. Kiebel
TU Dresden
x
Mon 23 Dec 04:25