Temporal sequence recognition in a self-organizing recurrent network. - Enea Ceolini; Daniel Neil; Tobi Delbruck; Shih-Chii Liu (EBCCSP, 2016)

Impact of low-precision deep regression networks on single-channel source separation. - Enea Ceolini; Shih-Chii Liu (ICASSP, 2017)

WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform. - Ilya Kiselev; Enea Ceolini; Daniel D. E. Wong; Alain de Cheveigné; Shih-Chii Liu (LCN Workshops, 2017)

Sensor Transformation Attention Networks. - Stefan Braun 005; Daniel Neil; Enea Ceolini; Jithendar Anumula; Shih-Chii Liu (CoRR, 2017)

A unified view of gradient-based attribution methods for Deep Neural Networks. - Marco Ancona; Enea Ceolini; A. Cengiz Öztireli; Markus H. Gross (CoRR, 2017)

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. - Chang Gao 002; Daniel Neil; Enea Ceolini; Shih-Chii Liu; Tobi Delbruck (FPGA, 2018)

Towards better understanding of gradient-based attribution methods for Deep Neural Networks. - Marco Ancona; Enea Ceolini; Cengiz Öztireli; Markus Gross 001 (ICLR (Poster), 2018)

Multi-channel Attention for End-to-End Speech Recognition. - Stefan Braun 005; Daniel Neil; Jithendar Anumula; Enea Ceolini; Shih-Chii Liu (INTERSPEECH, 2018)

Speaker Activity Detection and Minimum Variance Beamforming for Source Separation. - Enea Ceolini; Jithendar Anumula; Adrian E. G. Huber; Ilya Kiselev; Shih-Chii Liu (INTERSPEECH, 2018)

An event-driven probabilistic model of sound source localization using cochlea spikes. - Jithendar Anumula; Enea Ceolini; Zhe He 004; Adrian E. G. Huber; Shih-Chii Liu (ISCAS, 2018)

FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing. - Yi Luo 004; Cong Han; Nima Mesgarani; Enea Ceolini; Shih-Chii Liu (ASRU, 2019)

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System. - Enea Ceolini; Jithendar Anumula; Stefan Braun 005; Shih-Chii Liu (ICASSP, 2019)

Audio classification systems using deep neural networks and an event-driven auditory sensor. - Enea Ceolini; Ilya Kiselev; Shih-Chii Liu (IEEE SENSORS, 2019)

Attention-driven Multi-sensor Selection. - Stefan Braun 005; Daniel Neil; Jithendar Anumula; Enea Ceolini; Shih-Chii Liu (IJCNN, 2019)

Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. - Enea Ceolini; Shih-Chii Liu (MLSP, 2019)

Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. - Shih-Chii Liu; Bodo Rueckauer; Enea Ceolini; Adrian E. G. Huber; Tobias Delbrück (IEEE Signal Process. Mag., 2019)

Gradient-Based Attribution Methods. - Marco Ancona; Enea Ceolini; Cengiz Öztireli; Markus H. Gross (Explainable AI, 2019)

Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. - Enea Ceolini; Jens Hjortkjær; Daniel D. E. Wong; James O'Sullivan; Vinay S. Raghavan; Jose Herrero; Ashesh D. Mehta; Shih-Chii Liu; Nima Mesgarani (NeuroImage, 2020)

Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution. - Enea Ceolini; Ilya Kiselev; Shih-Chii Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Long-Term Stable Electromyography Classification Using Canonical Correlation Analysis. - Elisa Donati; Simone Benatti; Enea Ceolini; Giacomo Indiveri (NER, 2023)

Common multi-day rhythms in smartphone behavior. - Enea Ceolini; Arko Ghosh (npj Digit. Medicine, 2023)