Baltasar Beferull-Lozano

E. Isufi, G. Leus, B. Beferull-Lozano, S. Barbarossa and P. Di Lorenzo

Topological Signal Processing and Learning: Recent Advances and Future Challenges

Signal Processing

E. Ruiz, K. Kousias, S. Kumar, M. Tilleman, B. Beferull-Lozano, Ö. Alay, C. Griwodz, A. Filippeschi, J. Millán and M. Bergamasco

On the limits of trajectory prediction for hand movement trajectories with motion-capture sensors

Technical Report

E. Ruiz and B. Beferull-Lozano

Doubly Truncated Mode Kriging

IEEE Statistical Signal Processing

R. K. Jaiswal, M. Elnourani, S. Deshmukh and B. Beferull-Lozano

A Data-driven Transfer Learning Method for Indoor Radio Map Estimation

IEEE Transactions on Communications

J. Krishnan, R. Money, B. Beferull-Lozano and E. Isufi

Simplicial Vector Autoregressive Models

IEEE Transactions on Signal Processing

K. Roy, L. M. Lopez-Ramos and B. Beferull-Lozano

Efficient Interpretable Nonlinear Modeling for Multiple Time Series

IEEE Transactions on Signal Processing

R. Money, J. Krishnan and B. Beferull-Lozano

Limited Data Forecasting of Financial Time-series using Graph-based Class Dynamics

2024 32nd European Signal Processing Conference (EUSIPCO)

R. Money, M. Sabbaqi, J. Krishnan, B. Beferull-Lozano and E. Isufi

Kalman Filtering for Simplicial Processes

IEEE Asilomar Conference on Signals, Systems, and Computers

J. Singh, J. Zhou, B. Beferull-Lozano, S. Yan and S. Ghori

Haptic Teleoperation Framework for Learning Task Space Fine Manipulation Skills

2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)

S. Dominguez-Cid, J. Krishnan, R. Money, B. Beferull-Lozano, D. F. Larios-Marin and C. L. de Mora

Graph-Vector Auto-regressive Model for Lithium-Ion Cell Capacity Estimation

2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)

R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi

Evolution Backcasting of Edge Flows from Partial Observations using Simplicial Vector Autoregressive Models

The 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP)

E. Ruiz and B. Beferull-Lozano

An Online Multiple Kernel Parallelizable Learning Scheme

IEEE Signal Processing Letters

B. Zaman, L. M. Lopez-Ramos and B. Beferull-Lozano

Online Joint Topology Identification and Signal Estimation from Streams with Missing Data

IEEE Transactions on Signal and Information Processing over Networks

R. Money, J. Krishnan and B. Beferull-Lozano

Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs

IEEE Transactions on Signal Processing

E. Ruiz, L. M. Lopez-Ramos and B. Beferull-Lozano

Zero-delay Consistent Signal Reconstruction from Streamed Multi-variate time-series

IEEE Transactions on Signal Processing

S. Mollaebrahim and B. Beferull-Lozano

Distributed Linear Network Operators Based on Successive Graph Shift Matrices

IEEE Transactions on Signal and Information Processing over Networks

E. Ruiz, L. M. Lopez-Ramos and B. Beferull-Lozano

A Trainable Approach to Zero-delay Smoothing Spline Interpolation

IEEE Transactions on Signal Processing

A. Nama, L. Ben Saad, B. Beferull-Lozano and J. Zhou

Neighborhood Graph Filters based Graph Convolutional Neural Networks for Multi-Agent Deep Reinforcement Learning

IECON - Annual Conference of the IEEE Industrial Electronics Society

J. Singh, J. Zhou and B. Beferull-Lozano

Enhancing Multi-Agent Reinforcement Learning: Set Function Approximation and Dynamic Policy Adaptation

IECON - Annual Conference of the IEEE Industrial Electronics Society

R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi

Online Edge Flow Imputation on Networks

IEEE Signal Processing Letters

R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi

Scalable and Privacy-aware Online Learning of Nonlinear Structural Equation Models

IEEE Open Journal of Signal Processing

M. Elnourani, S. Deskmukh and B. Beferull-Lozano

Resource Allocation for Underlay Interfering D2D Networks with Multi-antenna and Imperfect CSI

IEEE Transactions on Communications

M. Elnourani, S. Deshmukh, B. Beferull-Lozano and D. Romero

Robust Sum-Rate Maximization for Underlay Device-to-Device Communications on Multiple Channels

IEEE Transactions on Vehicular Technology

R. Money, J. Krishnan and B. Beferull-Lozano

Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs

30th European Signal Processing Conference (EUSIPCO)

K. Roy, L. M. Lopez-Ramos and B. Beferull-Lozano

Joint Learning of Topology and Invertible Nonlinearities from Multiple Time Series

IEEE International Conference on Machine Learning, Optimization, and Data Science (ISMODE)

R. Money, J. Krishnan and B. Beferull-Lozano

Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs

30th European Signal Processing Conference (EUSIPCO)

L. Ben Saad, A. N. Nama and B. Beferull-Lozano

Neighborhood Graph Neural Networks under Random Perturbations and Quantization Errors

IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC)

R. K. Jaiswal, M. Elnourani, S. Deshmukh and B. Beferull-Lozano

Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications

IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC)

K. Roy, L. M. Lopez-Ramos and B. Beferull-Lozano

Joint Signal Estimation and Nonlinear Topology Identification from Noisy Data with Missing Entries

IEEE Asilomar Conference on Signals, Systems, and Computers

J. D. Cardenas-Cartagena, M. Elnourani, B. Beferull-Lozano and D. Romero

Risk-Aware Particle-Filtering for State Estimation in Recirculating Aquaculture Systems

IEEE Asilomar Conference on Signals, Systems, and Computers

R. K. Jaiswal, S. Deshmukh, M. Elnourani and B. Beferull-Lozano

Transfer Learning Based Joint Resource Allocation for Underlay D2D Communications

IEEE Wireless Communications and Networking Conference (WCNC)

J. Bhardwaj, J. Krishnan, D. F. L. Marin, B. Beferull-Lozano, L. R. Cenkeramaddi and C. Harman

Cyber-Physical Systems for Smart Water Networks: A Review

IEEE Sensors Journal

L. Ben Saad, B. Beferull-Lozano and E. Isufi

Quantization Analysis and Robust Design in Distributed Graph Filters

IEEE Transactions on Signal Processing

R. Sharan, S. Deshmukh, S. R. B. Pillai and B. Beferull-Lozano

Energy Efficient AoI Minimization in Opportunistic NOMA/OMA Broadcast Wireless Networks

IEEE Transactions on Green Communications and Networking

R. Money, J. Krishnan and B. Beferull-Lozano

Online Non-linear Topology Identification from Graph-connected Time Series

2021 IEEE Data Science and Learning Workshop (DSLW)2021 IEEE Data Science and Learning Workshop (DSLW)

J. Bhardwaj, J. Krishnan and B. Beferull-Lozano

Data-Driven Pump Scheduling for Cost Minimization in Water Networks

2021 IEEE International Conference on Autonomous Systems (ICAS)2021 IEEE International Conference on Autonomous Systems (ICAS)

R. Money, J. Krishnan and B. Beferull-Lozano

Random Feature Approximation for Online Nonlinear Graph Topology Identification

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)

R. Money, J. Krishnan and B. Beferull-Lozano

Online Non-linear Topology Identification from Graph-connected Time Series

2021 IEEE Data Science and Learning Workshop (DSLW)2021 IEEE Data Science and Learning Workshop (DSLW)

J. Bhardwaj, J. Krishnan and B. Beferull-Lozano

Data-Driven Pump Scheduling for Cost Minimization in Water Networks

2021 IEEE International Conference on Autonomous Systems (ICAS)2021 IEEE International Conference on Autonomous Systems (ICAS)

R. Money, J. Krishnan and B. Beferull-Lozano

Random Feature Approximation for Online Nonlinear Graph Topology Identification

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)

E. Ruiz and B. Beferull-Lozano

Tracking of quantized signals based on online kernel regression

IEEE International Workshop on Machine Learning for Signal Processing (MLSP)