Genealogical Searching, B. Chazelle, K. Karntikoon, Proc. 64th IEEE Conference on Decision and Control, Rio de Janeiro (2025), 2406--2413.
The Geometry of Cyclical Social Trends, B. Chazelle, K. Karntikoon, J. Nogler, Proc. 63rd IEEE Conference on Decision and Control, Milan (2024), 4655-4662.
Network-Augmented Compartmental Models to Track Asymptomatic Disease Spread, D.V. Dabke, K. Karntikoon, C. Aluru, M. Singh, B. Chazelle, Bioinformatics Advances (2023).
A Connectivity-Sensitive Approach to Consensus Dynamics, B. Chazelle, K. Karntikoon, Proc. 2nd Symp. Algorithmic Foundations of Dynamic Networks, 257 (2023), 10:1-10:17.
Quick Relaxation in Collective Motion, B. Chazelle, K. Karntikoon, Proc. 61st IEEE Conference on Decision and Control, Cancun, 2022.
Extracting Semantic Information from Dynamic Graphs of Geometric Data, D.V. Dabke, B. Chazelle, 10th International Conference on Complex Networks and their Applications, Springer Nature, Madrid, Spain (2021), 474-485.
On the Periodicity of Random Walks in Dynamic Networks, B. Chazelle, IEEE Trans. Network Science and Eng. 7 (2020), 1337-1343.
uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease Genes, B.H. Hristov, B. Chazelle, M. Singh, Cell Systems 10 (2020), 470-479. Prelim. version in RECOMB 2020.
PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities, S.N. Kobren, B. Chazelle, M. Singh, Cell Systems 11 (2020), 1-12.
Iterated Learning in Dynamic Social Networks, B. Chazelle, C. Wang, Journal of Machine Learning Research 20 (2019) 1-28.
Some Observations on Dynamic Random Walks and Network Renormalization, B. Chazelle, Proc. 22nd Int. Symp. on Fundamentals of Computation Theory (2019), 18-28.
A Sharp Bound on the s-Energy and Its Applications to Averaging Systems, B. Chazelle, IEEE Transactions on Automatic Control 64 (2019), 4385-4390.
Toward a Theory of Markov Influence Systems and their Renormalization, B. Chazelle, Proc. 9th ITCS (2018), 58:1-58:18.
Self-Sustaining Iterated Learning, B. Chazelle, C. Wang, Proc. 8th ITCS (2017), 17:1-17:17.
Gaussian Learning-Without-Recall in a Dynamic Social Network, C. Wang, B. Chazelle, Proc. American Control Conference (2017), 5109-5114.
Well-Posedness of the Limiting Equation of a Noisy Consensus Model in Opinion Dynamics, B. Chazelle, Q. Jiu, Q. Li, C. Wang, Journal of Differential Equations 263 (2017), 365-397.
Noisy Hegselmann-Krause Systems: Phase Transition and the 2R-Conjecture, C. Wang, Q. Li, Weinan E, B. Chazelle, Journal of Statistical Physics 166 (2017), 1209–1225. Prelim. version in 55th IEEE Conf. Decision and Control, 2016.
Inertial Hegselmann-Krause Systems, B. Chazelle, C. Wang, IEEE Transactions on Automatic Control 62 (2017), 3905-3913. Prelim. version in ACC 2016, 1936-1941.
Diffusive Influence Systems, B. Chazelle, SIAM J. Comput. 44 (2015), 1403-1442. Prelim. version in FOCS 2012.
An Algorithmic Approach to Collective Behavior, B. Chazelle, Journal of Statistical Physics 158 (2015), 514-548.
Algorithmic Renormalization for Network Dynamics, B. Chazelle, IEEE Trans. Network Science and Eng. 2 (2015), 1-16. Prelim. version in CIAC 2015.
The Convergence of Bird Flocking, B. Chazelle, Journal ACM 61 (2014), 21:1-35. Prelim. version in SoCG 2010 and arXiv.
How Many Bits Can a Flock of Birds Compute? B. Chazelle, Theory of Computing 10 (2014), 421-451.
On the Convergence of the Hegselmann-Krause System, A. Bhattacharyya, M. Braverman, B. Chazelle, H.L. Nguyen, Proc. 4th ITCS, 2013, 61-66.
The Total s-Energy of a Multiagent System, B. Chazelle, SIAM J. Control Optim. 49 (2011), 1680-1706. (2013 SIAG/CST Best SICON Paper Prize.) Prelim. version in SoCG 2010.
Analytical Tools for Natural Algorithms, B. Chazelle, Proc. 1st ICS (2010), 32-41.
Natural Algorithms, B. Chazelle, Proc. 20th SODA (2009), 422-431. (Best Paper Award.)
Organization of Physical Interactomes as Uncovered by Network Schemas, E. Banks, E. Nabieva, B. Chazelle, M. Singh, PLoS Comput. Biol. 4 (2008), e1000203, html.
Whole-Proteome Prediction of Protein Function via Graph-Theoretic Analysis of Interaction Maps, E. Nabieva, K. Jim, A. Agarwal, B. Chazelle, M. Singh, ISMB 2005, Bioinformatics 21 (2005), 302-310. PubMed
Solving and Analyzing Side-Chain Positioning Problems Using Linear and Integer Programming, C. Kingsford, B. Chazelle, M. Singh, Bioinformatics 21 (2005), 1028-1036. Download the software. PubMed
A Semidefinite Programming Approach to Side-Chain Positioning with New Rounding Strategies, B. Chazelle, C. Kingsford, M. Singh, INFORMS J. Computing 16 (2004), 380-392.