Optimising The Input Window Alignment in CD-DNN Based Phoneme Recognition for Low Latency Processing. - Akash Kumar Dhaka; Giampiero Salvi (CoRR, 2016)

Semi-supervised Learning with Sparse Autoencoders in Phone Classification. - Akash Kumar Dhaka; Giampiero Salvi (CoRR, 2016)

Scalable Gaussian Process for Extreme Classification. - Akash Kumar Dhaka; Michael Riis Andersen; Pablo Garcia Moreno; Aki Vehtari (MLSP, 2020)

Robust, Accurate Stochastic Optimization for Variational Inference. - Akash Kumar Dhaka; Alejandro Catalina; Michael Riis Andersen; Måns Magnusson; Jonathan H. Huggins; Aki Vehtari (NeurIPS, 2020)

Preferential Batch Bayesian Optimization. - Eero Siivola; Akash Kumar Dhaka; Michael Riis Andersen; Javier González 002; Pablo Garcia Moreno; Aki Vehtari (MLSP, 2021)

Challenges and Opportunities in High Dimensional Variational Inference. - Akash Kumar Dhaka; Alejandro Catalina; Manushi Welandawe; Michael Riis Andersen; Jonathan H. Huggins; Aki Vehtari (NeurIPS, 2021)

Robust and Automated Variational Inference. - Akash Kumar Dhaka (2022)