16 citations · 25 across the 15 of their papers we have counts for
15 papers
Conditional Optimal Bridge for Riemannian Activation Steering
Seyed Arshan Dalili, Ajay Narayanan Sridhar, Vijaykrishnan Narayanan +1
Activation steering offers a lightweight alternative to fine-tuning for controlling large language models at inference time. Many existing steering methods implicitly optimize a lo…
Correlation-Aware Contextual Bandits with Surrogate Rewards for LLM Routing
Ajay Narayanan Sridhar, Ronak Singh, Mehrdad Mahdavi +1
We study contextual bandit problems with correlated arms and access to surrogate reward signals produced by a machine learning model, motivated by applications such as large langua…
NaviSense: A Multimodal Assistive Mobile application for Object Retrieval by Persons with Visual Impairment
Ajay Narayanan Sridhar, Fuli Qiao, Nelson Daniel Troncoso Aldas +4
People with visual impairments often face significant challenges in locating and retrieving objects in their surroundings. Existing assistive technologies present a trade-off: syst…
Losing the Plot: How VLM responses degrade on imperfect charts
Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan +2
Vision language models (VLMs) show strong results on chart understanding, yet existing benchmarks assume clean figures and fact based queries. Real world charts often contain disto…
Sigma-Delta Neural Network Conversion on Loihi 2
Matthew Brehove, Sadia Anjum Tumpa, Espoir Kyubwa +2
Neuromorphic computing aims to improve the efficiency of artificial neural networks by taking inspiration from biological neurons and leveraging temporal sparsity, spatial sparsity…
A Bio-inspired Asymmetric Double-Gate Ferroelectric FET for Emulating Astrocyte and Dendrite Dynamics in Neuromorphic Systems
Zhouhang Jiang, A N M Nafiul Islam, Zhuangyu Han +13
Neuromorphic systems seek to replicate the functionalities of biological neural networks to attain significant improvements in performance and efficiency of AI computing platforms.…
An In-Situ Spatial-Temporal Sequence Detector for Neuromorphic Vision Sensor Empowered by High Density Vertical NAND Storage
Zijian Zhao, Varun Darshana Parekh, Po-Kai Hsu +17
Neuromorphic vision sensors require efficient real-time pattern recognition, yet conventional architectures struggle with energy and latency constraints. Here, we present a novel i…
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models
Philip Wootaek Shin, Jihyun Janice Ahn, Wenpeng Yin +2
It has been shown that many generative models inherit and amplify societal biases. To date, there is no uniform/systematic agreed standard to control/adjust for these biases. This…
Paving the Way for Pass Disturb Free Vertical NAND Storage via A Dedicated and String-Compatible Pass Gate
Zijian Zhao, Sola Woo, Khandker Akif Aabrar +22
In this work, we propose a dual-port cell design to address the pass disturb in vertical NAND storage, which can pass signals through a dedicated and string-compatible pass gate. W…
Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation
Yixin Xu, Yi Xiao, Zijian Zhao +7
Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density…
Powering Disturb-Free Reconfigurable Computing and Tunable Analog Electronics with Dual-Port Ferroelectric FET
Zijian Zhao, Shan Deng, Swetaki Chatterjee +15
Single-port ferroelectric FET (FeFET) that performs write and read operations on the same electrical gate prevents its wide application in tunable analog electronics and suffers fr…
DRackSim: Simulator for Rack-scale Memory Disaggregation
Amit Puri, John Jose, Tamarapalli Venkatesh +1
Memory disaggregation has emerged as an alternative to traditional server architecture in data centers. This paper introduces DRackSim, a simulation infrastructure to model rack-sc…
ASMCap: An Approximate String Matching Accelerator for Genome Sequence Analysis Based on Capacitive Content Addressable Memory
Hongtao Zhong, Zhonghao Chen, Wenqin Huangfu +8
Genome sequence analysis is a powerful tool in medical and scientific research. Considering the inevitable sequencing errors and genetic variations, approximate string matching (AS…
Eliminating Leakage in Volatile Memory with Anti-Ferroelectric Transistors
Hongtao Zhong, Zijie Zheng, Leming Jiao +8
Cache serves as a temporary data memory module in many general-purpose processors and domain-specific accelerators. Its density, power, speed, and reliability play a critical role…
Ferroelectric FET-based strong physical unclonable function: a low-power, high-reliable and reconfigurable solution for Internet-of-Things security
Xinrui Guo, Xiaoyang Ma, Franz Muller +5
Hardware security has been a key concern in modern information technologies. Especially, as the number of Internet-of-Things (IoT) devices grows rapidly, to protect the device secu…