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Chun Lam Chan
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Books and Theses
- 2019
- [b1]Chun Lam Chan:
Statistical Physics Methods for Community Detection. EPFL, Switzerland, 2019
Journal Articles
- 2021
- [j4]Elias Riedel Gårding, Nicolas Schwaller, Chun Lam Chan, Su Yeon Chang, Samuel Bosch, Frédéric Gessler, Willy Robert Laborde, Javier Naya Hernandez, Xinyu Si, Marc-André Dupertuis, Nicolas Macris:
Bell Diagonal and Werner State Generation: Entanglement, Non-Locality, Steering and Discord on the IBM Quantum Computer. Entropy 23(7): 797 (2021) - [j3]Jean Barbier, Chun Lam Chan, Nicolas Macris:
Adaptive Path Interpolation Method for Sparse Systems: Application to a Censored Block Model. IEEE Trans. Inf. Theory 67(4): 2093-2114 (2021) - 2017
- [j2]Chun Lam Chan, Winston Fernandes, Navin Kashyap, Manjunath Krishnapur:
Phase Transitions for the Uniform Distribution in the Pattern Maximum Likelihood Problem and its Bethe Approximation. SIAM J. Discret. Math. 31(1): 597-631 (2017) - 2014
- [j1]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. IEEE Trans. Inf. Theory 60(5): 3019-3035 (2014)
Conference and Workshop Papers
- 2019
- [c8]Jean Barbier, Chun Lam Chan, Nicolas Macris:
Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. ISIT 2019: 405-409 - 2018
- [c7]Jean Barbier, Chun Lam Chan, Nicolas Macris:
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. ISIT 2018: 1879-1883 - 2017
- [c6]Chun Lam Chan, Nicolas Macris:
Stability threshold and phase transition of generalized censored block models. ITW 2017: 384-388 - 2015
- [c5]Chun Lam Chan, Mahdi Jafari Siavoshani, Sidharth Jaggi, Navin Kashyap, Pascal O. Vontobel:
Generalized belief propagation for estimating the partition function of the 2D Ising model. ISIT 2015: 2261-2265 - 2014
- [c4]Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi:
Group testing with prior statistics. ISIT 2014: 2346-2350 - 2013
- [c3]Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama:
Stochastic threshold group testing. ITW 2013: 1-5 - 2012
- [c2]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-adaptive group testing: Explicit bounds and novel algorithms. ISIT 2012: 1837-1841 - 2011
- [c1]Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama:
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. Allerton 2011: 1832-1839
Informal and Other Publications
- 2019
- [i8]Jean Barbier, Chun Lam Chan, Nicolas Macris:
Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method. CoRR abs/1902.07273 (2019) - [i7]Elias Riedel Gårding, Nicolas Schwaller, Su Yeon Chang, Samuel Bosch, Willy Robert Laborde, Javier Naya Hernandez, Chun Lam Chan, Frédéric Gessler, Xinyu Si, Marc-André Dupertuis, Nicolas Macris:
Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer. CoRR abs/1912.06105 (2019) - 2018
- [i6]Jean Barbier, Chun Lam Chan, Nicolas Macris:
Adaptive Path Interpolation for Sparse Systems: Application to a Simple Censored Block Model. CoRR abs/1806.05121 (2018) - 2015
- [i5]Chun Lam Chan, Winston Fernandes, Navin Kashyap, Manjunath Krishnapur:
Phase Transitions for the Uniform Distribution in the PML Problem and its Bethe Approximation. CoRR abs/1506.00753 (2015) - 2014
- [i4]Tongxin Li, Chun Lam Chan, Wenhao Huang, Tarik Kaced, Sidharth Jaggi:
Group Testing with Prior Statistics. CoRR abs/1401.3667 (2014) - 2013
- [i3]Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama:
Near-Optimal Stochastic Threshold Group Testing. CoRR abs/1304.6027 (2013) - 2012
- [i2]Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri:
Non-adaptive Group Testing: Explicit bounds and novel algorithms. CoRR abs/1202.0206 (2012) - 2011
- [i1]Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama:
Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. CoRR abs/1107.4540 (2011)
Coauthor Index
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