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ORCIDSourav Bhattacharya
- > Home > Persons > Sourav Bhattacharya
Publications
- 2022
[c82]Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Donald Lane, Sourav Bhattacharya:
Conditioning Sequence-to-sequence Networks with Learned Activations. ICLR 2022- 2021
- [c81]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. BMVC 2021: 131 - [c80]Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane:
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR 2021 - [i8]Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic:
Defensive Tensorization. CoRR abs/2110.13859 (2021) - 2020
- [j26]Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil C. P. Ramos, Stylianos I. Venieris, Nicholas D. Lane, Cecilia Mascolo:
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 73:1-73:24 (2020) - [c78]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:
Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH 2020: 3361-3365 - [c77]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems. INTERSPEECH 2020: 3565-3569 - [i7]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:
Iterative Compression of End-to-End ASR Model using AutoML. CoRR abs/2008.02897 (2020) - [i6]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems. CoRR abs/2008.04574 (2020) - 2019
- [j25]Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane:
Learning to Listen... On-Device: Present and future perspectives of on-device ASR. GetMobile Mob. Comput. Commun. 23(4): 5-9 (2019) - [c70]Royson Lee, Stylianos I. Venieris
, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 54:1-54:16 - [c69]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. MobiCom 2019: 90:1-90:3 - [i5]Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane:
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. CoRR abs/1908.07985 (2019) - 2018
- [c68]Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar, Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Matthieu Vegreville:
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices. UbiComp/ISWC Adjunct 2018: 666-669 - [c66]Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane:
Deterministic Binary Filters for Convolutional Neural Networks. IJCAI 2018: 2739-2747 - [c65]Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò:
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. IPSN 2018: 200-211 - [c64]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys 2018: 13-18 - [c63]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
Deterministic binary filters for keyword spotting applications. MobiSys 2018: 529 - [c62]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data. PervasiveHealth 2018: 178-186 - 2017
- [j21]Petko Georgiev, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo:
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 50:1-50:19 (2017) - [j20]Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Multimodal Deep Learning for Activity and Context Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(4): 157:1-157:27 (2017) - [j19]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Squeezing Deep Learning into Mobile and Embedded Devices. IEEE Pervasive Comput. 16(3): 82-88 (2017) - [c60]Akhil Mathur, Nicholas D. Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar:
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware. MobiSys 2017: 68-81 - [c59]Petar Velickovic, Nicholas D. Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Scaling health analytics to millions without compromising privacy using deep distributed behavior models. PervasiveHealth 2017: 92-100 - [i4]Petar Velickovic, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville:
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data. CoRR abs/1709.08073 (2017) - 2016
- [c58]Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar:
Towards multimodal deep learning for activity recognition on mobile devices. UbiComp Adjunct 2016: 185-188 - [c56]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar:
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices. IPSN 2016: 23:1-23:12 - [c55]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX. IPSN 2016: 61:1-61:2 - [c54]Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar:
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit. MobiCASE 2016: 98-107 - [c53]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. MobiSys (Companion Volume) 2016: 109 - [c52]Sourav Bhattacharya, Nicholas D. Lane:
From smart to deep: Robust activity recognition on smartwatches using deep learning. PerCom Workshops 2016: 1-6 - [c51]Sourav Bhattacharya, Nicholas D. Lane:
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables. SenSys 2016: 176-189 - 2015
- [c47]Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar:
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices. IoT-App@SenSys 2015: 7-12
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