Search Results - "Jha, Niraj K."

Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare by Mozaffari-Kermani, Mehran, Sur-Kolay, Susmita, Raghunathan, Anand, Jha, Niraj K.

“…Machine learning is being used in a wide range of application domains to discover patterns in large datasets. Increasingly, the results of machine learning…”
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DINI: data imputation using neural inversion for edge applications by Tuli, Shikhar, Jha, Niraj K.

“…The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely,…”
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ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation by Dai, Xiaoliang, Jia, Yangqing, Vajda, Peter, Uyttendaele, Matt, Jha, Niraj K., Zhang, Peizhao, Wu, Bichen, Yin, Hongxu, Sun, Fei, Wang, Yanghan, Dukhan, Marat, Hu, Yunqing, Wu, Yiming

“…This paper proposes an efficient neural network (NN) architecture design methodology called Chameleon that honors given resource constraints. Instead of…”
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Design of Logic Gates and Flip-Flops in High-Performance FinFET Technology by Bhoj, Ajay N., Jha, Niraj K.

“…With the emergence of nonplanar CMOS devices at the 22-nm node and beyond, it is highly likely that multigate device adoption will occur in a high-performance…”
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SECRETS: Subject-efficient clinical randomized controlled trials using synthetic intervention by Lala, Sayeri, Jha, Niraj K.

“…The parallel-group randomized controlled trial (RCT) is commonly used in Phase-3 clinical trials to establish treatment effectiveness but requires…”
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Anti-Cancerous Effect of Rutin Against HPV-C33A Cervical Cancer Cells via G0/G1 Cell Cycle Arrest and Apoptotic Induction by Khan, Fahad, Pandey, Pratibha, Upadhyay, Tarun K, Jafri, Asif, Jha, Niraj K, Mishra, Rashmi, Singh, Vineeta

“…Nowadays, the potential therapeutic role of various bioflavonoids including Curcumin, Luteolin and Resveratrol has currently been well-documented in a vast…”
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NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm by Dai, Xiaoliang, Yin, Hongxu, Jha, Niraj K.

“…Deep neural networks (DNNs) have begun to have a pervasive impact on various applications of machine learning. However, the problem of finding an optimal DNN…”
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Nanomedicines for the management of diabetic nephropathy: present progress and prospects by Paul, Paramita, Chacko, Leena, Dua, Tarun K, Chakraborty, Pratik, Paul, Udita, Phulchand, Vishwakarma Vishal, Jha, Niraj K, Jha, Saurabh K, Kandimalla, Ramesh, Dewanjee, Saikat

“…Diabetic nephropathy (DN) is a serious microvascular consequence of diabetes mellitus (DM), posing an encumbrance to public health worldwide. Control over the…”
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3-D-TCAD-Based Parasitic Capacitance Extraction for Emerging Multigate Devices and Circuits by Bhoj, Ajay N., Joshi, Rajiv V., Jha, Niraj K.

“…In recent years, the multigate field-effect transistor (FET) has emerged as the most viable contender for technology scaling down to the sub-10-nm nodes. The…”
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TCAD-Assisted Capacitance Extraction of FinFET SRAM and Logic Arrays by Bhattacharya, Debajit, Jha, Niraj K.

“…Technology computer-aided design (TCAD)-assisted automation of structure synthesis followed by a transport-analysis-based capacitance extraction approach has…”
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Grow and Prune Compact, Fast, and Accurate LSTMs by Dai, Xiaoliang, Yin, Hongxu, Jha, Niraj K.

“…Long short-term memory (LSTM) has been widely used for sequential data modeling. Researchers have increased LSTM depth by stacking LSTM cells to improve…”
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A Trusted Virtual Machine in an Untrusted Management Environment by Chunxiao Li, Raghunathan, Anand, Jha, Niraj K.

“…Virtualization is a rapidly evolving technology that can be used to provide a range of benefits to computing systems, including improved resource utilization,…”
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Vibration-based secure side channel for medical devices by Younghyun Kim, Woo Suk Lee, Raghunathan, Vijay, Jha, Niraj K., Raghunathan, Anand

“…Implantable and wearable medical devices are used for monitoring, diagnosis, and treatment of an ever-increasing range of medical conditions, leading to an…”
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Trustworthiness of Medical Devices and Body Area Networks by Zhang, Meng, Raghunathan, Anand, Jha, Niraj K.

“…Implantable and wearable medical devices (IWMDs) are commonly used for diagnosing, monitoring, and treating various medical conditions. A general trend in…”
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AccelTran: A Sparsity-Aware Accelerator for Dynamic Inference with Transformers by Tuli, Shikhar, Jha, Niraj K.

“…Self-attention-based transformer models have achieved tremendous success in the domain of natural language processing. Despite their efficacy, accelerating the…”
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Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion by Yin, Hongxu, Molchanov, Pavlo, Alvarez, Jose M., Li, Zhizhong, Mallya, Arun, Hoiem, Derek, Jha, Niraj K., Kautz, Jan

“…We introduce DeepInversion, a new method for synthesizing images from the image distribution used to train a deep neural network. We ``invert'' a trained…”
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TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference by Tuli, Shikhar, Jha, Niraj K.

“…Automated co-design of machine learning models and evaluation hardware is critical for efficiently deploying such models at scale. Despite the state-of-the-art…”
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SLOPES: Hardware-Software Cosynthesis of Low-Power Real-Time Distributed Embedded Systems With Dynamically Reconfigurable FPGAs by Li Shang, Dick, R.P., Jha, N.K.

“…In this paper, we present a multiobjective hardware-software cosynthesis system, called SLOPES, for multirate low-power real-time distributed embedded systems…”
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INFORM: Inverse Design Methodology for Constrained Multiobjective Optimization by Terway, Prerit, Jha, Niraj K.

“…Many system design methods use population-based optimization or a surrogate model for solving constrained multiobjective optimization (CMOO). When designing a…”
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McPAT-Monolithic: An Area/Power/Timing Architecture Modeling Framework for 3-D Hybrid Monolithic Multicore Systems by Guler, Abdullah, Jha, Niraj K.

“…Three-dimensional integrated circuits (3-D ICs) have the potential to push Moore's law further by accommodating more transistors per unit footprint area along…”
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