SenSocial: a middleware for integrating online social networks and mobile sensing data streams. - Abhinav Mehrotra; Veljko Pejovic; Mirco Musolesi (Middleware, 2014)

Designing content-driven intelligent notification mechanisms for mobile applications. - Abhinav Mehrotra; Mirco Musolesi; Robert J. Hendley; Veljko Pejovic (UbiComp, 2015)

Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling. - Abhinav Mehrotra; Jo Vermeulen; Veljko Pejovic; Mirco Musolesi (UbiComp/ISWC Adjunct, 2015)

Investigating The Role of Task Engagement in Mobile Interruptibility. - Veljko Pejovic; Mirco Musolesi; Abhinav Mehrotra (MobileHCI Adjunct, 2015)

Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies. - Veljko Pejovic; Abhinav Mehrotra; Mirco Musolesi (CoRR, 2015)

My Phone and Me: Understanding People's Receptivity to Mobile Notifications. - Abhinav Mehrotra; Veljko Pejovic; Jo Vermeulen; Robert J. Hendley; Mirco Musolesi (CHI, 2016)

PrefMiner: mining user's preferences for intelligent mobile notification management. - Abhinav Mehrotra; Robert J. Hendley; Mirco Musolesi (UbiComp, 2016)

Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction. - Abhinav Mehrotra; Robert J. Hendley; Mirco Musolesi (UbiComp Adjunct, 2016)

Using human raters to characterize the psychological characteristics of GPS-based places. - Sandrine R. Müller; Gabriella M. Harari; Abhinav Mehrotra; Sandra C. Matz; Poruz Khambatta; Mirco Musolesi; Cecilia Mascolo; Samuel D. Gosling; Peter J. Rentfrow (UbiComp/ISWC Adjunct, 2017)

Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring. - Abhinav Mehrotra; Mirco Musolesi (DigitalBioMarker@MobiSys, 2017)

Sensing and Modeling Human Behavior Using Social Media and Mobile Data. - Abhinav Mehrotra; Mirco Musolesi (CoRR, 2017)

Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities. - Gatis Mikelsons; Matthew Smith 007; Abhinav Mehrotra; Mirco Musolesi (CoRR, 2017)

Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges. - Abhinav Mehrotra; Mirco Musolesi (CoRR, 2017)

Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors. - Gianni Barlacchi; Christos Perentis; Abhinav Mehrotra; Mirco Musolesi; Bruno Lepri (EPJ Data Sci., 2017)

Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns. - Abhinav Mehrotra; Sandrine R. Müller; Gabriella M. Harari; Samuel D. Gosling; Cecilia Mascolo; Mirco Musolesi; Peter J. Rentfrow (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

MyTraces: Investigating Correlation and Causation between Users' Emotional States and Mobile Phone Interaction. - Abhinav Mehrotra; Fani Tsapeli; Robert J. Hendley; Mirco Musolesi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner. - Abhinav Mehrotra; Robert J. Hendley; Mirco Musolesi (GetMobile Mob. Comput. Commun., 2017)

A framework for intelligent mobile notifications. - Abhinav Mehrotra (2017)

The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage. - Ella Peltonen; Eemil Lagerspetz; Jonatan Hamberg; Abhinav Mehrotra; Mirco Musolesi; Petteri Nurmi; Sasu Tarkoma (MobileHCI, 2018)

Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States. - Abhinav Mehrotra; Mirco Musolesi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments. - Abhinav Mehrotra; Robert J. Hendley; Mirco Musolesi (CHIIR, 2019)

Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter. - Gatis Mikelsons; Abhinav Mehrotra; Mirco Musolesi; Nigel Shadbolt (MCSS@MobiSys, 2019)

Graph Input Representations for Machine Learning Applications in Urban Network Analysis. - Alessio Pagani; Abhinav Mehrotra; Mirco Musolesi (CoRR, 2019)

PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing. - Thivya Kandappu; Abhinav Mehrotra; Archan Misra; Mirco Musolesi; Shih-Fen Cheng; Lakmal Meegahapola (CHIIR, 2020)

Iterative Compression of End-to-End ASR Model Using AutoML. - Abhinav Mehrotra; Lukasz Dudziak; Jinsu Yeo; Young-Yoon Lee; Ravichander Vipperla; Mohamed S. Abdelfattah; Sourav Bhattacharya; Samin Ishtiaq; Alberto Gil C. P. Ramos; SangJeong Lee; Daehyun Kim; Nicholas D. Lane (INTERSPEECH, 2020)

Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems. - Ravichander Vipperla; Sangjun Park; Kihyun Choo; Samin Ishtiaq; Kyoungbo Min; Sourav Bhattacharya; Abhinav Mehrotra; Alberto Gil C. P. Ramos; Nicholas D. Lane (INTERSPEECH, 2020)

Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones. - Victor-Alexandru Darvariu; Laura Convertino; Abhinav Mehrotra; Mirco Musolesi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Intelligent Notification Systems - Abhinav Mehrotra; Mirco Musolesi (Morgan & Claypool Publishers, 2020)

Zero-Cost Proxies for Lightweight NAS. - Mohamed S. Abdelfattah; Abhinav Mehrotra; Lukasz Dudziak; Nicholas Donald Lane (ICLR, 2021)

NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. - Abhinav Mehrotra; Alberto Gil C. P. Ramos; Sourav Bhattacharya; Lukasz Dudziak; Ravichander Vipperla; Thomas Chau 001; Mohamed S. Abdelfattah; Samin Ishtiaq; Nicholas Donald Lane (ICLR, 2021)

Smart at what cost?: characterising mobile deep neural networks in the wild. - Mário Almeida; Stefanos Laskaridis; Abhinav Mehrotra; Lukasz Dudziak; Ilias Leontiadis; Nicholas D. Lane (Internet Measurement Conference, 2021)

Inferring Facing Direction from Voice Signals. - Yu-Lin Wei; Rui Li 052; Abhinav Mehrotra; Romit Roy Choudhury; Nicholas D. Lane (CoRR, 2021)

Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: A Case Study of Office Workers' Availability for Well-being Interventions. - Seyma Kucukozer Cavdar; Tugba Taskaya-Temizel; Abhinav Mehrotra; Mirco Musolesi; Peter Tino (ACM Trans. Comput. Heal., 2021)

FutureWare: Designing a Middleware for Anticipatory Mobile Computing. - Abhinav Mehrotra; Veljko Pejovic; Mirco Musolesi (IEEE Trans. Software Eng., 2021)

Handling Missing Data For Sleep Monitoring Systems. - Shkurta Gashi; Lidia Alecci; Martin Gjoreski; Elena Di Lascio; Abhinav Mehrotra; Mirco Musolesi; Maike E. Debus; Francesca Gasparini; Silvia Santini (ACII, 2022)

Conditioning Sequence-to-sequence Networks with Learned Activations. - Alberto Gil Couto Pimentel Ramos; Abhinav Mehrotra; Nicholas Donald Lane; Sourav Bhattacharya (ICLR, 2022)

Federated Self-supervised Speech Representations: Are We There Yet? - Yan Gao 016; Javier Fernández-Marqués; Titouan Parcollet; Abhinav Mehrotra; Nicholas D. Lane (INTERSPEECH, 2022)

How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. - Hrushikesh Loya; Lukasz Dudziak; Abhinav Mehrotra; Royson Lee; Javier Fernández-Marqués; Nicholas D. Lane; Hongkai Wen 001 (CoRR, 2023)

MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile Devices. - Beatrice Perez; Abhinav Mehrotra; Mirco Musolesi (CANS (2), 2024)

Towards Neural Architecture Search through Hierarchical Generative Modeling. - Lichuan Xiang; Lukasz Dudziak; Mohamed S. Abdelfattah; Abhinav Mehrotra; Nicholas Donald Lane; Hongkai Wen 001 (ICML, 2024)

Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. - Rosco Hunter; Lukasz Dudziak; Mohamed S. Abdelfattah; Abhinav Mehrotra; Sourav Bhattacharya; Hongkai Wen 001 (CoRR, 2024)

Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities. - Ruchika Chavhan; Abhinav Mehrotra; Malcolm Chadwick; Alberto Gil C. P. Ramos; Luca Morreale; Mehdi Noroozi; Sourav Bhattacharya (CoRR, 2025)

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention. - Philipp Becker; Abhinav Mehrotra; Ruchika Chavhan; Malcolm Chadwick; Luca Morreale; Mehdi Noroozi; Alberto Gil C. P. Ramos; Sourav Bhattacharya (CoRR, 2025)

Guidance Free Image Editing via Explicit Conditioning. - Mehdi Noroozi; Alberto Gil C. P. Ramos; Luca Morreale; Ruchika Chavhan; Malcolm Chadwick; Abhinav Mehrotra; Sourav Bhattacharya (CoRR, 2025)