Hardware Round-Robin Scheduler for Single-ISA Asymmetric Multi-core. - Nikola Markovic; Daniel Nemirovsky; Veljko Milutinovic; Osman S. Unsal; Mateo Valero; Adrián Cristal (Euro-Par, 2015)

Performance and Energy Efficient Hardware-Based Scheduler for Symmetric/Asymmetric CMPs. - Nikola Markovic; Daniel Nemirovsky; Osman S. Unsal; Mateo Valero; Adrián Cristal (SBAC-PAD, 2015)

Thread Lock Section-Aware Scheduling on Asymmetric Single-ISA Multi-Core. - Nikola Markovic; Daniel Nemirovsky; Osman S. Ünsal; Mateo Valero; Adrián Cristal (IEEE Comput. Archit. Lett., 2015)

Kernel-to-User-Mode Transition-Aware Hardware Scheduling. - Nikola Markovic; Daniel Nemirovsky; Osman S. Unsal; Mateo Valero; Adrián Cristal (IEEE Micro, 2015)

Reimagining Heterogeneous Computing: A Functional Instruction-Set Architecture Computing Model. - Daniel Nemirovsky; Nikola Markovic; Osman S. Unsal; Mateo Valero; Adrián Cristal (IEEE Micro, 2015)

Emergent Behaviors in the Internet of Things: The Ultimate Ultra-Large-Scale System. - Damian Roca; Daniel Nemirovsky; Mario Nemirovsky; Rodolfo A. Milito; Mateo Valero (IEEE Micro, 2016)

A Deep Learning Mapper (DLM) for Scheduling on Heterogeneous Systems. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal; Mateo Valero (CARLA, 2017)

iQ: An Efficient and Flexible Queue-Based Simulation Framework. - Damian Roca; Daniel Nemirovsky; Marc Casas; Miquel Moretó; Mateo Valero; Mario Nemirovsky (MASCOTS, 2017)

A Machine Learning Approach for Performance Prediction and Scheduling on Heterogeneous CPUs. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal (SBAC-PAD, 2017)

Improving heterogeneous system efficiency : architecture, scheduling, and machine learning. - Daniel Nemirovsky (2017)

A General Guide to Applying Machine Learning to Computer Architecture. - Daniel Nemirovsky; Tugberk Arkose; Nikola Markovic; Mario Nemirovsky; Osman S. Unsal; Adrián Cristal; Mateo Valero (Supercomput. Front. Innov., 2018)

CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets. - Daniel Nemirovsky; Nicolas Thiebaut; Ye Xu; Abhishek Gupta (CoRR, 2020)

Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks. - Daniel Nemirovsky; Nicolas Thiebaut; Ye Xu; Abhishek Gupta (WSDM, 2021)

CounteRGAN: Generating counterfactuals for real-time recourse and interpretability using residual GANs. - Daniel Nemirovsky; Nicolas Thiebaut; Ye Xu; Abhishek Gupta (UAI, 2022)