2018

StructureNet: Inducing Structure in Generated Melodies Medeot G., Cherla S., Kosta K., McVicar M., Abdallah S., Selvi M., Newton-Rex E., Webster K. International Society for Music Information Retrieval Conference (ISMIR) Jukedeck Ltd.

Linear-Time Sequence Classification using Restricted Boltzmann Machines Tran S., Cherla S., Garcez A., Weyde T. arXiv Preprintarxiv.org/abs/1710.02245 City, University of London

2017

Generalising the Discriminative Restricted Boltzmann Machine International Conference on Artificial Neural Networks (ICANN) City, University of London

2015

Hybrid Dynamic Melody Models International Society for Music Information Retrieval Conference (ISMIR) City, University of London

Discriminative Learning and Inference in the Recurrent Temporal RBM for Melody Modelling Cherla S., Tran S., Garcez A., Weyde T. International Joint Conference on Neural Networks (IJCNN) City, University of London

2014

Incremental Dataset Definitions for Large Scale Musicological Research Tidhar D., Benetos E., Wolff D., Dumon E., Cherla S., Weyde T. Digital Libraries for Musicology Workshop at ACM/IEEE JCDL City, University of London

RNN-based Music Language Models for Improving Automatic Music Transcription International Society for Music Information Retrieval Conference (ISMIR) City, University of London

Multiple Viewpoint Melodic Prediction with Fixed-Context Neural Networks International Society for Music Information Retrieval Conference (ISMIR) City, University of London

2013

Regression Methods for Virtual Metrology of Layer Thickness in Chemical Vapor Deposition Transactions on Mechatronics, IEEE/ASME Universitat Pompeu Fabra / PMC Technologies

MIR in Music Education Wiki DMRN+8: Digital Music Research Network One-day Workshop City, University of London

A Distributed Model for Multiple Viewpoint Melodic PredictionBest Student Paper Award Cherla S., Weyde T., Garcez A., Pearce M. International Society for Music Information Retrieval Conference (ISMIR) City, University of London

An Efficient Shift-Invariant Model for Polyphonic Music Transcription 6th International Workshop on Machine Learning and Music, ECML City, University of London

A Neural Probabilistic Model for Predicting Melodic Sequences 6th International Workshop on Machine Learning and Music, ECML City, University of London

Automatic Phrase Continuation from Guitar and Bass-guitar Melodies Cherla S., Purwins H., Marchini M. Computer Music Journal 34:3 (Fall 2013), MIT Press Universitat Pompeu Fabra

2012

The Saxophone by Model and Measurement Sound and Music Computing Conference (SMC) Simon Fraser University

2011

Continuous Audio Analytics by HMM and Viterbi Decoding Ramasubramanian V., Karthik R., Thiyagarajan S., Cherla S. International Conference on Acoustics, Speech and Signal Processing (ICASSP) Siemens – Corporate Technology

2010

Audio Analytics by Template Modeling and One-pass DP Based Decoding Cherla S., Ramasubramanian V. International Speech Communication Association Conference (INTERSPEECH) Siemens – Corporate Technology

2008

A Framework for Indexing Human Actions in Video Kulkarni K., Cherla S., Kale A., Ramasubramanian V. 1st International Workshop on Machine Learning for Vision-based Motion Analysis, ECCV Siemens – Corporate Technology

Towards Fast, View-Invariant Human Action Recognition Cherla S., Kulkarni K., Kale A., Ramasubramanian V. 1st Workshop on CV and Pattern Recognition for Human Computer Communicative Behavior, CVPR Siemens – Corporate Technology