FRG Launch Workshop: Difference between revisions

Latest revision as of 01:06, 25 September 2017

Friday-Saturday October 22-23, 2017
Nogodan Guest House and Hotel, Jeonnam, Korea

With the incredible success of deep learning, machine learning and artificial intelligence have attracted great interest from the public. The success is widely attributed to several mathematically ingenious algorithms and theories. However, it is also true that to some extent the success relies on the advance of the computing hardwares. Some features remain mysteries, and fully understanding them may bring further advancement of the machine learning. On top of it, its has recently been shown that the deep network architecture shares a common mathematical structure with the tensor network states, which have been developed independently in the field of quantum information theory and condensed matter physics.

The Quantum Control Lab, lead by Prof. Mahn-Soo Choi, is studying the mathematical structure of the deep networks and the tensor network states to reveal the unknown deep relation between the two fields. They are aiming to the develop a machine learning architecture which is specialized for the solution of strongly correlated systems, which are known to be very hard to simulate in conventional methods with classical computers.

Program

Time Table

Friday Sep 21, 2017 Registration
- 18:00- Registration
Friday Sep 22, 2017 Deep Learning
- 09:00-09:50 Mahn-Soo Choi
- 10:00-10:50 Chang-Woo Lee
- 11:00-11:50 Ho-Jun Kim
- 12:00-14:00 Lunch
Friday Sep 22, 2017 Tensor Network States
- 14:00-14:50 Ho-Joon Kim I
- 15:00-15:50 Ho-Joon Kim II
- 16:00-16:50 MInchul Lee
- 17:00-17:50 Mahn-Soo Choi
- 18:00- 20:00 Dinner
Friday Sep 23, 2017 Research Planning Forum
- 09:30-11:30 Panel Members
- 11:30-12:00 Closing
- 12:00-13:30 Lunch

Deep Learning

Chairman: Ho-Joon Kim

Choi, Mahn-Soo (Korea Univ), Introduction to Machine Learning
Lee, Chang-Woo (KIAS), Introduction to Deep Learning
Kim, Ho-Joon (Pusan Nat'l Univ), Representation Theorem in Artificial Neural Network

Tensor Network States

Chairman: Mahn-Soo Choi

Kim, Ho-Joon (Pusan Nat'l Univ), Introduction to Tensor Network States
Kim, Ho-Joon (Pusan Nat'l Univ), Entanglement Renormalization with Tensor Network States
Lee, Minchul (Kyunghee Univ), Introduction to DMRG and NRG Methods
Choi, Mahn-Soo (Korea Univ), Common Mathematical Structures for Tensor Network States and Deep Learning

Research Panning Forum

Chairman: Mahn-Soo Choi

09:30-11:30 Panel Members: Mahn-Soo Choi (Korea Univ), Ho-Jun Kim (Pusan Nat'l Univ), Chang-Woo Lee (KIAS), Minchul Lee (Kyunghee Univ)

Organizer

The Quantum Control Lab. (Korea University)

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 <div style="margin-bottom:2em;">
-[[Image:KTG_StayHotel.jpg|class=img-responsive|link=]]
+[[Image:NogodanGuestHouseHotel.jpg|class=img-responsive|link=]]
 </div>
-* '''Wednesday-Thursday July 6-7, 2016'''
+* '''Friday-Saturday October 22-23, 2017'''
-* '''[http://stay.sangsangmadang.com SANGSANGMADANG Chuncheon Stay Hotel, Chuncheon, Korea]'''
+* '''[https://goo.gl/maps/eJo7Me2DXyD2 Nogodan Guest House and  Hotel, Jeonnam, Korea]'''
-This year the Quantum Control Lab (QCLab) is rebuilding itself with some old members leaving and new members joining in. When the group rebuilding goes successfully, this workshop is going to be  held annually.
+With the incredible success of deep learning, machine learning and artificial intelligence have attracted great interest from the public.  The success is widely attributed to several mathematically ingenious algorithms and theories. However, it is also true that to some extent the success relies on the advance of the computing hardwares. Some features remain mysteries, and fully understanding them may bring further advancement of the machine learning. On top of it, its has recently been shown that the deep network architecture shares a common mathematical structure with the tensor network states, which have been developed independently in the field of quantum information theory and condensed matter physics.
-The workshop is to promote the research activities of the QCLab and its collaboration with other groups worldwide. At the workshop, the group members present their current research activities and achievements while the external invited speakers deliver talks on their seminal works.  For those who are interested in joining this group in the future, the workshop will also provide certain chances to take a glance at the group activities.
+The Quantum Control Lab, lead by Prof. Mahn-Soo Choi, is studying the mathematical structure of the deep networks and the tensor network states to reveal the unknown deep relation between the two fields. They are aiming to the develop a machine learning architecture which is specialized for the solution of strongly correlated systems, which are known to be very hard to simulate in conventional methods with classical computers.
-At the particular workshop this year, we  are pleased to invite the Summer Internees of the group. They will present and discuss their activities and plans for  the Summer Internship.
 ==Program==
 {{TimeTable |
-*Wednesday July 6, 2016
+*Friday Sep 21, 2017 '''Registration'''
-** 12:17-13:14 Train for Chuncheon from Cheongryangri Station
+** 18:00- '''Registration'''
-** 14:00-15:00 Registration
+*Friday Sep 22, 2017 '''Deep Learning'''
-** 15:00-19:00 Excursion and Banquet
+** 09:00-09:50 Mahn-Soo Choi
-*Thursday July 7, 2016
+** 10:00-10:50 Chang-Woo Lee
-** 09:00-11:00 '''Research Training Session'''
+** 11:00-11:50 Ho-Jun Kim
-** 11:00-11:00 Coffee Break
+** 12:00-14:00 Lunch
-** 11:30-13:30 '''Self-Education Training Session'''
+*Friday Sep 22, 2017 '''Tensor Network States'''
-** 14:00-16:00 Closing and Lunch
+** 14:00-14:50 Ho-Joon Kim I
-** 16:10-17:07 Train back to Cheongryangri Station
+** 15:00-15:50 Ho-Joon Kim II
+** 16:00-16:50 MInchul Lee
+** 17:00-17:50 Mahn-Soo Choi
+** 18:00- 20:00 Dinner
+*Friday Sep 23, 2017 '''Research Planning Forum'''
+** 09:30-11:30 Panel Members
+** 11:30-12:00 Closing
+** 12:00-13:30 Lunch
 }}
-===Research Training Session===
+===Deep Learning===
+<blockquote>
+Chairman: Ho-Joon Kim
+</blockquote>
+* [[Choi, Mahn-Soo]] (Korea Univ), '''Introduction to Machine Learning'''
+* [[Lee, Chang-Woo]] (KIAS), '''Introduction to Deep Learning'''
+* [[Kim, Ho-Joon]] (Pusan Nat'l Univ), '''Representation Theorem in Artificial Neural Network'''
+===Tensor Network States===
 <blockquote>
 Chairman: Mahn-Soo Choi
 </blockquote>
-* [[Choi, Mahn-Soo|Mahn-Soo Choi]], '''Introduction of the Quantum Control Lab'''
+* [[Kim, Ho-Joon]] (Pusan Nat'l Univ), '''Introduction to Tensor Network States'''
-* Nguyen Le Duc Thinh, '''[[Introduction to Decoherence]]'''
+* [[Kim, Ho-Joon]] (Pusan Nat'l Univ), '''Entanglement Renormalization with Tensor Network States'''
-* [[Seungju Han]], '''[[Introduction of Topological Insulator]]'''
+* [[Lee, Minchul]] (Kyunghee Univ), '''Introduction to DMRG and NRG Methods'''
+* [[Choi, Mahn-Soo]] (Korea Univ), '''Common  Mathematical Structures for Tensor Network States and Deep Learning'''
-===Self-Education Training Session===
+===Research Panning Forum===
 <blockquote>
-Chairman: Seung Park
+Chairman: Mahn-Soo Choi
 </blockquote>
-* [[Choi, Suho| Suho Choi]], '''[[QC Lab Workshop, Rabi Hamiltonian and Mathematica Package]]'''
+* 09:30-11:30 Panel Members: Mahn-Soo Choi (Korea Univ), Ho-Jun Kim (Pusan Nat'l Univ), Chang-Woo Lee (KIAS), Minchul Lee (Kyunghee Univ)
-* [[Lee, Myeongwon| Myeongwon Lee]], '''[[Footprint over Teaching Mathematica Quantum Mechanics]]'''
-==Organizers==
+==Organizer==
-* This year the workshop is organized jointly by the '''[[Quantum Control Lab]]''' and the '''Creative Challenge Program team "[[:Category:교학상장|교학상장]]"'''.
+* The Quantum Control Lab. (Korea University)
 ==Sponsors==
-* [http://www.nrf.re.kr National Research Foundation] of Korea.
+* Korea University Future Research Grant (KU FRG).
 * [http://physics.korea.ac.kr BK21 Plus Initiative of Department of Physics at Korea University].
-* [http://ctl.korea.ac.kr Center for Teaching and Learning] at Korea University through the [http://ctl.korea.ac.kr/common.ctl?page=m3.m4 Creative Challenge Program].
-==Photos==
-[[File:WorkShop20160707Photo1.jpg|500px|right|thumb]]
-[[File:WorkShop20160707Photo2.jpg|500px|left|thumb]]
-[[Category: Events]]