activity
20122019
most citedACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

50 citations · 75 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2019★ 50 cited

ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning

Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal +1

Internet of Things forms the backbone of modern building applications. Wireless sensors are being increasingly adopted for their flexibility and reduced cost of deployment. However…

cs.LG2019

Associative Convolutional Layers

Hamed Omidvar, Vahideh Akhlaghi, Massimo Franceschetti +1

Motivated by the necessity for parameter efficiency in distributed machine learning and AI-enabled edge devices, we provide a general and easy to implement method for significantly…

cs.CV2018★ 2 cited

Local Binary Pattern Networks

Jeng-Hau Lin, Yunfan Yang, Rajesh Gupta +1

Memory and computation efficient deep learning architec- tures are crucial to continued proliferation of machine learning capabili- ties to new platforms and systems. Binarization…

cs.CV2017★ 4 cited

Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration

Jeng-Hau Lin, Tianwei Xing, Ritchie Zhao +4

State-of-the-art convolutional neural networks are enormously costly in both compute and memory, demanding massively parallel GPUs for execution. Such networks strain the computati…

eess.SY2016★ 12 cited

Quiver: Using Control Perturbations to Increase the Observability of Sensor Data in Smart Buildings

Jason Koh, Bharathan Balaji, Vahideh Akhlaghi +2

Modern buildings consist of hundreds of sensors and actuators for monitoring and operation of systems such as HVAC, light and security. To enable portable applications in next gene…

eess.SY2015★ 2 cited

HVACMeter: Apportionment of HVAC Power to Thermal Zones and Air Handler Units

Jason Koh, Bharathan Balaji, Rajesh Gupta +1

Heating, Ventilation and Air Conditioning (HVAC) systems consume almost half of the total energy use of commercial buildings. To optimize HVAC energy usage, it is important to unde…

cs.NI2012★ 5 cited

Energy Efficient Geographical Load Balancing via Dynamic Deferral of Workload

Muhammad Abdullah Adnan, Ryo Sugihara, Rajesh Gupta

With the increasing popularity of Cloud computing and Mobile computing, individuals, enterprises and research centers have started outsourcing their IT and computational needs to o…