Alessandra Sutti

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 8

Top Topics

Graph Cut Segmentation

Mumford Shah Functional

Top Venues

Publications

Fatemeh Babaeian, Nemai Karmakar, Zahra Komeily-Nia, Alessandra Sutti
Towards an Objective and Precise Moisture Content Measurement of Textiles Using a Chipless RFID Tag-Sensor. IEEE SENSORS (2020)
Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
Accelerated Bayesian Optimisation through Weight-Prior Tuning. AISTATS (2020)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR (2019)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
Bayesian Functional Optimisation with Shape Prior. AAAI (2019)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh
Bayesian functional optimisation with shape prior. CoRR (2018)
Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
Kernel Pre-Training in Feature Space via m-Kernels. CoRR (2018)
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM (2018)
Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin, Alessandra Sutti, Thomas Dorin, Murray Height, Paul G. Sanders, Svetha Venkatesh
Process-constrained batch Bayesian optimisation. NIPS (2017)