Conference Papers

Conference papers

1. K. Butler, M. Iloska,  and P. M. Djurić, "On counterfactual interventions in vector autoregressive models," Proceedings of the European Signal Processing Conference, Lyon, France, 2024.

2. C. Cui, S. Mofakham, J. Phillips, K. Butler, C. Mikell, Y. Saalmann, and P. M. Djurić, "Gaussian process-based inference toward revealing brain functional connectivity," Proceedings of the European Signal Processing Conference, Lyon, France, 2024.

3. M. Ajirak, Y. Liu,  and  P. M. Djurić, "Filtering of high-dimensional data for sequential classification," Proceedings of the International Conference on Information Fusion, Venice, Italy, 2024.

4. D. Waxman and  P. M. Djurić, "A Gaussian process-based streaming algorithm for prediction of time series with regimes and outliers," Proceedings of the International Conference on Information Fusion, Venice, Italy, 2024.

5. F. Broghammer, T. Wiedemann, S. Zhang, A. Dammann, C. Gentner, and P. M. Djurić, ``Self-organized sensor eggs for decentralized localization and sensing on vulcano island – A glimpse into future space exploration with swarms,'' Proceedings of the International Conference on Information Fusion, Venice, Italy, 2024.

6. T. Chen, G. Feng, and P. M. Djurić, "Improving open-set recognition with Bayesian metric learning," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, 2024.

7. F. LLorente and P. M. Djurić, "Dynamic random feature Gaussian processes for Bayesian optimization of time-varying functions,"Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, 2024.

8. L. Yang, K. Buttler and P. M. Djurić, "Sequential detection of anomalies in noisy outputs of an unknown function using Gaussian and Yule-Simon processes," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, 2024.

9. Y. Song, Y. Liu, and P. M. Djurić, "A novel architecture of deep feature-based Gaussian processes with ensemble kernels,'' {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, 2024.

10. C. Cui and P. M. Djurić, "Inference of time-varying graph topologies via Gaaussian processes,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Seoul, South Korea, 2024.

11. M. Ajirak, H. Preis, M. Lobel, and P. M. Djurić, "Learning from heterogeneous data with deep Gaussian processes," Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Los Sueños Marriott Ocean & Golf Resort, Costa Rica, 2023.

12. M. Ajirak, D.  Waxman, F. Llorente,  and  P. M. Djurić, "Fusion of Gaussian processes predictions with Monte Carlo sampling,''  {\sl Proceedings of the Asilomar Conference on Signals, Systems, and Computers}, Asilomar, CA,  2023.

13. Y. Liu, C. Cui, D. Waxman, K. Butler,  and P. M. Djurić, "Detecting confounders in multivariate time series using strength of causation," Proceedings of the European Signal Processing Conference, Helsinki, Finland, 2023.

14. K. Butler, D. Cleveland, C. Mikell, S. Mofakham, Y. Saalmann,  and P. M. Djurić, "An approach to learning the hierarchical organization of the frontal lobe,'' Proceedings of the European Signal Processing Conference, Helsinki, Finland, 2023.

15. T. Chen, G. Feng, C. Heiselman, J. G. Quirk,  and P. M. Djurić, "Fetal heart rate analysis from a multi-task learning perspective with Gaussian processes,'' Proceedings of the European Signal Processing Conference, Helsinki, Finland, 2023.

16. M. Ajirak and P.  M. Djurić, "A Gaussian latent variable model for incomplete mixed type data," IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes, Greece, 2023.

17. Y. Liu, C. Cui, M. Ajirak, and P. M. Djurić, "Estimation of time-varying graph topologies from graph signals,” EEE International Conference on Acoustics, Speech and Signal Processing, Rhodes, Greece, 2023.

18. K. Butler, G. Feng, C. B. Mikell, S. Mofakham, and P. M. Djurić, "Predicting latent states of dynamical systems with state-space reconstruction and Gaussian processes,'' Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

19. C. Cui, P. Banelli, and P. M. Djurić, "Gaussian processes for topology inference of directed graphs," Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

20. S. Zhang, A. Guerra, F. Guidi, D. Dardari,  and P. M. Djurić, "Multi-agent navigation with reinforcement learning enhanced information seeking," Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

21. T. Chen, G. Feng, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Characterizing fetal heart rate from a state space perspective," Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

22. M. Ajirak, Y. Liu, and P. M. Djurić, "Ensembles of Gaussian process latent variable models,'' Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

23. Y. Liu, M. Ajirak, and P. M. Djurić, "Inference with deep Gaussian process state space models,'' Proceedings of the European Signal Processing Conference, Belgrade, Serbia, 2022.

24. Y. Liu and P. M. Djurić, "Tracking the dimensions of latent spaces of Gaussian process latent variable models,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, 2022.

25. A. Hensley and P. M. Djurić, "Online learning for latent Yule-Simon processes," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, 2022.

26. L. Yang, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Unsupervised clustering and analysis of contraction-dependent fetal heart rate segments,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, 2022.

27. T. Chen, G. Feng, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Improving phase-rectified signal averaging for fetal heart rate analysis," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, 2022.

28. M. Ajirak, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Boost ensemble learning for classification of CTG signals," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, 2022.

29. A.  Ahmad, X. Sha, M. Stanaćcević, A. Athalye, P. M. Djurić, and S.  R Das, "Enabling passive backscatter tag localization without active receivers," Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, pp. 178-191, 2021.

30. A. Guerra, F. Guidi, D. Dardari, and P. M Djurić, "3D Source tracking with large antenna arrays in the Fresnel region," 22nd International Workshop on Signal Processing Advances in Wireless Communications, pp. 426-430,  2021.

31. A. Guerra, F. Guidi, D. Dardari, P. M. Djurić, "Real-time learning for THZ radar mapping and UAV control,'' Proceedings of IEEE International Conference on Autonomous Systems (ICAS), Montreal, Canada, 2021. 

32. A. Guerra, F. Guidi, D. Dardari, and P. M. Djurić, "Multi-agent Q-learning in UAV Networks for target detection and indoor mapping,'' Proceedings of BalkanCom, Novi Sad, Serbia, 2021.

33. M. Stanaćević, A. Ahmad, X. Sha, A. Athalye, S. Das, K. Caylor, B. Glišić, P. M. Djurić, "RF backscatter-based sensors for structural health monitoring,"  Proceedings of BalkanCom, Novi Sad, Serbia, 2021.

34. Y. Liu and P. M. Djurić, "The use of Gaussian processes as particles for sequential Monte Carlo estimation of time-varying functions,'' Proceedings of the European Signal Processing Conference, Dublin, Ireland, 2021.

35. L. Yang, M. Ajirak, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Unsupervised detection of anomalies in fetal heart rate tracings using phase space reconstruction,'' Proceedings of the European Signal Processing Conference, Dublin, Ireland, 2021.

36. M. Ajirak, C. Heiselman, A. Fuchs, M. Heiligenstein, K. Herrera, D. Garretto, and P. M. Djurić, "Bayesian nonparametric dimensionality reduction of categorical data for predicting severity of COVID-19 in pregnant women," Proceedings of the European Signal Processing Conference, Dublin, Ireland, 2021.

37. L. Yang, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Class-imbalances classifiers using ensembles of Gaussian processes and Gaussian process latent variable models,''  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 2021.

38. L. Yang, C. Heiselman, J. G. Quirk, and P. M. Djurić, "Identification of uterine contractions by an ensemble of Gaussian processes,"  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 2021.

39. H. Wang, M. F. Bugallo, and P. M. Djurić, "Adaptive importance sampling via auto-regressive generative models and Gaussian processes,"  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 2021.

40. Y. El-Laham, L. Yang, H. Lynch, P. M. Djurić, and M. F. Bugallo, "Particle Gibbs sampling for regime-switching state-space models,'" Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 2021.

41. D. Johnston and P. M. Djurić, "Bayesian estimation of a tail-index with marginalized threshold,"  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, 2021.

42. Y. Huang, A.  Athalye, S. Das, P. M. Djurić, and M. Stanaćević, "RF Energy Harvesting and Management for Near-zero Power Passive Devices,''  IEEE International Symposium on Circuits and Systems, 2021.

43. G. Feng, C. Heiselman, G. Quirk, and P. M. Djurić, "Estimation of consecutively missed samples in fetal heart rate recordings,'' Proceedings of the European Signal Processing Conference, Amsterdam, Holland, 2020.

44. Y. Liu and P. M. Djurić, "Gaussian process state-space models with time varying parameters,'' Proceedings of the European Signal Processing Conference, Amsterdam, Holland, 2020.

45. Y. El-Laham, L. Yang, P. M. Djurić, and M. F. Bugallo, "Particle filtering under general regime switching,'' Proceedings of the European Signal Processing Conference, Amsterdam, Holland, 2020.

46. D. Johnston and P. M. Djurić, "A recursive Bayesian solution for the excess over threshold distribution with stochastic parameters,''  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 2020.

47. Y.  El-Laham, P. M.  Djurić, and M. F. Bugallo, "Enhanced mixture population Monte Carlo via stochastic optimization and Markov chain Monte Carlo sampling,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 2020.

48. A. Ahmad, Y. Huang, X. Sha, A. Athalye, M. Stanaćević, S. R. Das, and P. M. Djurić, "On measuring Doppler shifts between tags in backscattering tag-to-tag network with applications in tracking,''  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 2020.

49. G. Feng, K. Yu, J. G. Quirk, and P. M. Djurić, "Discovering causalities from cardiotocography signals using improved convergent cross mapping with Gaussian processes,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 2020.

50. G. Feng, K. Yu, Y. Wang, Y. Yuan, and P. M. Djurić, "Improving convergent cross mapping for causal discovery with Gaussian processes,''  Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, 2020.

51. A. Chakraborty, C. Zhan, H. Gupta, and P. M. Djurić, "Selection of sensors for efficient transmitter localization,'' Proceedings of Infocom: IEEE International Conference on Computer Communications, Beijing, China, 2020.

52. G. Feng, J. G. Quirk, and  P M. Djurić, "Extracting interpretable features for fetal heart rate recordings with Gaussian processes,'' Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Guadeloupe, West Indies, 2019.

53. H. Wang, M. Bugallo, and P M. Djurić, "Adaptive importance sampling supported by a variational auto-encoder,'' Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Guadeloupe, West Indies, 2019.

54. A. Guerra, D. Dardari, and P M. Djurić, "Non-Centralized Navigation for Source Localization by Cooperative UAVs,'' Proceedings of the European Signal Processing Conference, La Coruña, Spain, 2019.

55. Y. Karimi, Y. Huang, A. Athalye, S. Das, P M. Djurić, and M. Stanaćević, "Passive Wireless channel estimation in RF tag network,'' Proceedings if the IEEE International Symposium on Circuits and Systems, Sapporo, Japan, 2019.

56. D. Johnston and P. M. Djurić, "A recursive Bayesian model for extreme values," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

57. Y. El-Laham, P. M.  Djurić, M. F. Bugallo, "A variational adaptive population importance sampler," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

58. P. M. Djurić and P. Closas, "On self-assessment of proficiency of autonomous systems," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

59. G. Feng, J. G. Quirk,  and P. M. Djurić, "Inference about causality from cardiotography signals using Gaussian processes," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

60. L. Gan, A. Hensley, and P. M. Djurić, "Modeling and estimation of interactions of Yule-Simon processes," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

61. M. Stanaćević, Y. Karimi, G. Feng, J. Ryoo, A. Athalye, S. Das, P. M. Djurić, "RF-based analytics generated by tag-to-tag networks," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton UK, 2019.

62. G. Feng, J. G. Quirk, and P. M. Djurić, ''Supervised and unsupervised learning of fetal heart rate tracings with deep Gaussian processes,'' Proceedings of Neural Networks and Applications, Belgrade, Serbia, 2018.

63. J. Ryoo, Y. Karimi, A. Athalye, M. Stanaćević, S. R. Das, P. M. Djurić, "BARNET: Towards activity recognition using passive backscattering tag-to-tag network,'' Proceedings of Mobisys, the 16th ACM International Conference on Mobile Systems, Munich, Germany, 2018.

64. A. Chakraborty, A. Bhattacharya, S. Kamal, S. R. Das, H. Gupta, and P. M. Djurić, "Spectrum patrolling with crowdsourced spectrum sensors,'' Proceedings of Infocom: IEEE International Conference on Computer Communications, Honolulu, HI 2018.

65. M. Dowling, J. Nassar, P. M. Djurić, and M. F. Bugallo, "Improved adaptive importance sampling based on variational inference,'' Proceedings of the European Signal Processing Conference, Rome, Italy, 2018.

66. F. Hawas and P. M. Djurić, "Graph representation using mutual information for graph model discrimination,''  Proceedings of the European Signal Processing Conference, Rome, Italy, 2018.

67. M. Dowling, M. F. Bugallo, Samir R. Das, and P. M. Djurić, "Tracking of objects in a passive backscattering tag-to-tag network,'' Proceedings of the IEEE Workshop on Signal Processing Advances in Wireless Communications, Kalamata, Greece, 2018.

68. A. Guerra, N. Sparnacci, D. Dardari, and P. M. Djurić, "Collaborative target-localization and information-based control in networks of UAVs,'' Proceedings of the IEEE Workshop on Signal Processing Advances in Wireless Communications, Kalamata, Greece, 2018.

69. E. Salman, M. Stanaćević, S. Das, and P. M. Djurić, "Leveraging RF power for intelligent tag networks,''  Proceedings of the 2018 on Great Lakes Symposium on VLSI, Chicago, IL,  2018.

70. E. Arias-de-Reyna, P. Closas, D. Dardari, and Petar M. Djurić, "Estimation of spatial fields of NLOS/LOS conditions for improved localization in indoor environments,''  Proceedings of the IEEE Statistical Signal Processing Workshop, Freiburg, Germany, 2018.

71. I. Santos, J.-J. Murillo, and P. M. Djurić, "Recursive estimation of time-varying RSS fields based on crowdsourcing and Gaussian processes,'' Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Curaçao, 2017.

72. H. Wang and P. M. Djurić, "Diffusion in networks by cooperative particle filtering," Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing}, Curaçao, 2017.

73. L. Gan and P. M. Djurić, "Bayesian selection of models of network formation," Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Curaçao, 2017.

74. Ç. Taşdemir, M. F. Bugallo, and P. M. Djurić, "A particle-based approach for topology estimation of gene networks,'' Proceedings of the IEEE Workshop on Computational Advances in Multi-sensor Adaptive Processing, Curaçao, 2017.

75. K. Yu, J. G. Quirk, P. M. Djurić, "Analysis of fetal heart rate series by nonparametric hidden Markov models,'' Proceedings of the Asilomar Conference on Signals, Systems, and Computers, Asilomar, CA,  2017.

76. I. Santos and P. M. Djurić, ''Crowdsource-based signal strength field estimation by Gaussian processes,'' Proceedings of the European Signal Processing Conference, Kos, Greece, 2017.

77. G. Feng, J. G. Quirk, and P. M. Djurić, ''Recovery of missing samples in fetal heart rate recordings with Gaussian processes,'' Proceedings of the European Signal Processing Conference, Kos, Greece, 2017.

78. V. Elvira, J. Míguez, and P. M. Djurić, ''Robust inference by particle filtering,'' Proceedings of the International Statistical Institute, Marrakesh, Morocco, 2017.

79. Y. Karimi, A. Athalye, S. Das, P. M. Djurić, and M. Stanaćević, "Design of a backscatter-based tag-to-tag system,'' Proceedings of the IEEE International Conference on RFID, Pheonix, AZ, 2017.

80. L. Gan, Y.  Wang, and P. M. Djurić, "Bayesian learning in a network with multi-hypothesis decision exchanges,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, LA, 2017.

81. E. Arias-de-Reyna, D. Dardari, P. Closas,  and P. M. Djurić, ``Enhanced indoor localization through crowd sensing,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, LA, 2017.

82. A. Hansley and P. M. Djurić, ``Nonparametric learning for hidden Markov models with preferential attachment dynamics,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, LA, 2017.

83. I. Urteaga, M. F. Bugallo, and P. M. Djurić, "Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, LA, 2017.

84. K. Yu, J. G. Quirk, and P. M. Djurić, "Fetal heart rate classification by non-parametric Bayesian methods,'' Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, LA, 2017.

85. M. Begović, I. Kim, B. Vidaković, P. M.  Djurić, V. Jeremić , "Impact of short-term variations in the generation output of geographically dispersed PV systems,'' Proceedings of the 50th Hawaii International Conference on System Sciences, Waikoloa Village, HI, 2017.

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More papers to be added.