‘KAIST Information Theory and Machine Learning Workshop’ will be held on Dec. 20 (Tue) by the School of Electrical Engineering.
The scheduled program is as below and please find the attachment for detailed information.
- Date&Time: Dec. 20 (Tue) 9:00~18:00
- Venue: #201, N1 (IT Convergence Building)
|
Time |
Speaker |
|
09:00~10:00 |
Dr. Kang Wook Lee (KAIST) “Speeding Up Distributed Computing Systems Using Codes” |
|
10:00~11:00 |
Dr. Hyeji Kim (UIUC) “On the Optimality of Superposition Coding for the Broadcast Channel” |
|
11:00~12:00 |
Dr. Jungwon Lee (Samsung USA) “Towards the limit of neural network quantization” |
|
12:00~13:30 |
Lunch (Faculty Club) |
|
13:30~14:30 |
Prof. Jinwoo Shin (KAIST) “Approximating Spectral Sums of Large-scale Matrices using Chebyshev Polynomials: Application to Determinant Point Process” |
|
14:30~15:30 |
Prof. Young-Han Kim (UCSD) “How to learn probability without learning” |
|
15:30~16:00 |
Coffee Break |
|
16:00~17:00 |
Prof. Daniel Lee (UPenn) |
|
17:00~18:00 |
Prof. Sae-Young Chung (KAIST) |
