On the duality of globally constrained separable problems and its application to distributed signal processing. - Thomas Sherson; Richard Heusdens; W. Bastiaan Kleijn (EUSIPCO, 2016)

A distributed algorithm for robust LCMV beamforming. - Thomas Sherson; W. Bastiaan Kleijn; Richard Heusdens (ICASSP, 2016)

Quantisation effects in PDMM: A first study for synchronous distributed averaging. - Daan H. M. Schellekens; Thomas Sherson; Richard Heusdens (ICASSP, 2017)

Quantisation Effects in Distributed Optimisation. - Joseph A. G. Jonkman; Thomas Sherson; Richard Heusdens (ICASSP, 2018)

A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks With Arbitrary Topology. - Andreas I. Koutrouvelis; Thomas W. Sherson; Richard Heusdens; Richard C. Hendriks (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Derivation and Analysis of the Primal-Dual Method of Multipliers Based on Monotone Operator Theory. - Thomas William Sherson; Richard Heusdens; W. Bastiaan Kleijn (IEEE Trans. Signal Inf. Process. over Networks, 2019)

On the Distributed Method of Multipliers for Separable Convex Optimization Problems. - Thomas Sherson; Richard Heusdens; W. Bastiaan Kleijn (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Exposure Bias and State Matching in Recurrent Neural Network Virtual Analog Models. - Aleksi Peussa; Eero-Pekka Damskägg; Thomas Sherson; Stylianos I. Mimilakis; Lauri Juvela; Athanasios Gotsopoulos; Vesa Välimäki (DAFx, 2021)

Convergence of Stochastic PDMM. - Sebastian O. Jordan; Thomas W. Sherson; Richard Heusdens (ICASSP, 2023)

End-to-End Amp Modeling: from Data to Controllable Guitar Amplifier Models. - Lauri Juvela; Eero-Pekka Damskägg; Aleksi Peussa; Jaakko Mäkinen; Thomas Sherson; Stylianos I. Mimilakis; Kimmo Rauhanen; Athanasios Gotsopoulos (ICASSP, 2023)

End-to-End Amp Modeling: From Data to Controllable Guitar Amplifier Models. - Lauri Juvela; Eero-Pekka Damskägg; Aleksi Peussa; Jaakko Mäkinen; Thomas Sherson; Stylianos I. Mimilakis; Athanasios Gotsopoulos (CoRR, 2024)