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Daphne Koller Publications
Research Areas (all)Publication TypeYears
HMHybrid Models   LGMLearning Graphical Models
MNMarkov Networks   RPMRicher Probabilistic Models
RPRobotics and Perception   TPMTemporal Probabilistic Models
JJournal Article
CConference Paper
BBook
ChBook Chapter
TTechnical Report
PhDPhD Disseration
1985 - 1989
1990 - 1994
1995 - 1999
2000 - 2004
2005 - 2009
2010 - 2014

TypeReferenceDownload
topics: HMLGMMNRPMRPTPM

2011
C   S. Saria, A. Duchi, and D. Koller (2011). "Discovering deformable motifs in continuous time-series data." International Joint Conference on Artificial Intelligence (IJCAI). bib pdf
topics:    LGM          TPM

2010
T   S. Saria, D. Koller, and A. Penn (2010). "Discovering shared and individual latent structure in multiple time series." Technical report. , . bib pdf html
topics:                TPM

2007
C   S. Saria, U. Nodelman, and D. Koller (2007). "Reasoning at the Right Time Granularity." Proceedings of the Twenty-third Conference on Uncertainty in AI (UAI). Best student paper award. bib pdf
topics:                TPM

C   A. Battle, G. Chechik, and D. Koller (2007). "Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task." Advances in Neural Information Processing Systems (NIPS 2006). bib pdf
topics:       MN       TPM

2006
C   T. El-Hay, N. Friedman, D. Koller, and R. Kupferman (2006). "Continuous Time Markov Networks." Proceedings of the Twenty-second Conference on Uncertainty in AI (UAI). bib pdf
topics:                TPM

2005
C   U. Nodelman, D. Koller, and C.R. Shelton (2005). "Expectation Propagation for Continuous Time Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 431-440). bib/abs pdf ps.gz
topics:                TPM

C   U. Nodelman, C.R. Shelton, and D. Koller (2005). "Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks." Proceedings of the Twenty-first Conference on Uncertainty in AI (UAI) (pp. 421-430). bib/abs pdf ps.gz
topics:                TPM

2004
J   S. Thrun, Y. Liu, D. Koller, A.Y. Ng, Z. Ghahramani, and H. Durrant-Whyte (2004). "Simultaneous localization and mapping with sparse extended information filters." International Journal of Robotics Research, 23(7/8). bib/abs pdf
topics:             RP TPM

J   S. Thrun, M. Montemerlo, D. Koller, B. Wegbreit, J. Nieto, and E. Nebot (2004). "Fastslam: An efficient solution to the simultaneous localization and mapping problem with unknown data association." Journal of Machine Learning Research. To appear. bib/abs pdf
topics:             RP TPM

2003
C   M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2003). "FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that provably converges." Eighteenth International Joint Conference on Artificial Intelligence (IJCAI). bib/abs pdf
topics:             RP TPM

C   U. Nodelman, C.R. Shelton, and D. Koller (2003). "Learning Continuous Time Bayesian Networks." Proc. Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 451-458). Winner of the Best Paper Award. bib/abs pdf ps.gz
topics:    LGM          TPM

2002
C   U. Lerner, B. Moses, M. Scott, S. McIlraith, and D. Koller (2002). "Monitoring a complex physical system using a hybrid dynamic Bayes net." Proc. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 301-310). bib/abs pdf ps.gz
topics: HM             TPM

C   M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit (2002). "FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem." Proceedings of the 18th National Conference on Artificial Intelligence (AAAI) (pp. 593-598). bib/abs pdf
topics:             RP TPM

C   U. Nodelman, C.R. Shelton, and D. Koller (2002). "Continuous Time Bayesian Networks." Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI) (pp. 378-387). bib/abs pdf ps.gz
topics:                TPM

2001
Ch   D. Koller and U. Lerner (2001). "Sampling in Factored Dynamic Systems." In A. Doucet, J.F.G. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods in Practice. [older version, 2000]bib
topics:                TPM

2000
C   U. Lerner, R. Parr, D. Koller, and G. Biswas (2000). "Bayesian Fault Detection and Diagnosis in Dynamic Systems." Proceedings of the 17th National Conference on Artificial Intelligence (AAAI) (pp. 531-537). bib/abs pdf ps.gz
topics: HM             TPM

Ch   D. Koller and U. Lerner (2000). "Sampling in Factored Dynamic Systems." In A. Doucet, J.F.G. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods In Practice. Invited contribution. [newer version, 2001]bib pdf ps.gz
topics:                TPM

1999
C   X. Boyen, N. Friedman, and D. Koller (1999). "Discovering the hidden structure of complex dynamic systems." Proceedings of the 15th Annual Conference on Uncertainty in AI (UAI) (pp. 206-215). bib/abs pdf ps.gz
topics:    LGM          TPM

C   X. Boyen and D. Koller (1999). "Exploiting the Architecture of Dynamic Systems." Proceedings of the 16th National Conference on Artificial Intelligence (AAAI) (pp. 313-320). bib/abs pdf ps.gz
topics:                TPM

C   D. Koller, U. Lerner, and D. Anguelov (1999). "A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets." Proc. Fourteenth Annual Conference on Uncertainty in AI (UAI) (pp. 324-333). bib/abs pdf ps.gz
topics: HM             TPM

C   X. Boyen and D. Koller (1999). "Approximate learning of dynamic models." Advances in Neural Information Processing Systems (NIPS) (pp. 396-402). bib/abs pdf ps.gz
topics:    LGM          TPM

1998
C   X. Boyen and D. Koller (1998). "Tractable Inference for Complex Stochastic Processes." Proc. Fourteenth Annual Conference on Uncertainty in AI (UAI) (pp. 33-42). bib/abs pdf full.pdf full.ps.gz
topics:                TPM

C   N. Friedman, D. Koller, and A. Pfeffer (1998). "Structured representation of complex stochastic systems." Proceedings of the 15th National Conference on Artificial Intelligence (AAAI) (pp. 157-164). bib/abs pdf ps.gz
topics:          RPM    TPM

C   D. Koller and R. Fratkina (1998). "Using Learning for Approximation in Stochastic Processes." Proc. Fifteenth International Conference on Machine Learning (ICML) (pp. 287-295). bib/abs pdf ps.gz
topics:                TPM

1995
C   K. Kanazawa, D. Koller, and S.J. Russell (1995). "Stochastic simulation algorithms for dynamic probabilistic networks." Proceedings of the Eleventh Annual Conference on Uncertainty in AI (UAI '95) (pp. 346-351). bib/abs pdf ps.gz
topics:                TPM

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