Sungsoo Ahn

I am a Ph.D student, supervised by Prof. Jinwoo Shin at School of Electrical Engineering in Korea Advanced Institute of Science and Technology.

Publications (C: Conference / J: Journal)

[C6] Variational Information Distillation for Knowledge Transfer [pdf]

  • Sungsoo Ahn, Shell Hu, Andreas Damianou, Neil Lawrence and Zhenwen Dai
  • IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2019


[C5] Bucket-Renormalization for Approximate Inference [pdf]

  • Sungsoo Ahn, Michael Chertkov, Adrian Weller and Jinwoo Shin
  • International Conference of Machine Learning (ICML) 2018


[J1] Maximum Weight Matching using Odd-sized Cycles: Max-Product Belief Propagation and Half-Integrality [pdf]

  • Sungsoo Ahn, Sejun Park, Michael Chertkov, Andrew E. Gelfand and Jinwoo Shin
  • IEEE Transactions on Information Theory, 2018


[C4] Gauged Mini-Bucket Elimination for Approximate Inference [pdf]

  • Sungsoo Ahn, Michael Chertkov, Jinwoo Shin and Adrian Weller
  • International Conference on Artificial Intelligence and Statistics (AISTATS) 2018


[C3] Gauging Variational Inference [pdf]

  • Sungsoo Ahn, Michael Chertkov and Jinwoo Shin
  • Neural Information Processing Systems (NeurIPS) 2017 as poster presentation


[C2] Synthesis of MCMC and Belief Propagation [pdf]

  • Sungsoo Ahn, Michael Chertkov and Jinwoo Shin
  • Neural Information Processing Systems (NeurIPS) 2016 as oral presentation


[C1] Minimum Weight Perfect Matching via Blossom Belief Propagation [pdf]

  • Sungsoo Ahn, Sejun Park, Michael Chertkov and Jinwoo Shin
  • Neural Information Processing Systems (NeurIPS) 2015 as spotlight presentation


Selected Invited Talks

KAIST Math Colloquium, Daejeon, Korea (Dec 2015)

Los Alamos National Laboratory CNLS Student Seminar, Los Alamos, NM, U.S. (July 2016)

Banff Workshop on Optimization and Inference for Physical Flows on Networks,

Banff, Alberta, Canada. \\(March 2017)

Los Alamos National Laboratory CNLS Student Seminar, Los Alamos, NM, U.S. (July 2017)

Physics Informed Machine Learning Workshop, Santa Fe, NM, U.S. (Jan 2018)

Robotics Seminar, Oxford, U.K. (April 2018)