Zobrazeno 1 - 10
of 1 835
pro vyhledávání: '"Talati, P."'
Autor:
Ye, Haojie, Xia, Yuchen, Chen, Yuhan, Chen, Kuan-Yu, Yuan, Yichao, Deng, Shuwen, Kasikci, Baris, Mudge, Trevor, Talati, Nishil
Oblivious RAM (ORAM) hides the memory access patterns, enhancing data privacy by preventing attackers from discovering sensitive information based on the sequence of memory accesses. The performance of ORAM is often limited by its inherent trade-off
Externí odkaz:
http://arxiv.org/abs/2411.05400
Counting the number of small subgraphs, called motifs, is a fundamental problem in social network analysis and graph mining. Many real-world networks are directed and temporal, where edges have timestamps. Motif counting in directed, temporal graphs
Externí odkaz:
http://arxiv.org/abs/2409.08975
Due to the cost-prohibitive nature of training Large Language Models (LLMs), fine-tuning has emerged as an attractive alternative for specializing LLMs for specific tasks using limited compute resources in a cost-effective manner. In this paper, we c
Externí odkaz:
http://arxiv.org/abs/2408.04693
Autor:
Talati, Musa, Lange, Frederic, Airantzis, Dimitrios, Chitnis, Danial, Illukwe, Temisan, Gopal, Darshana, Pinti, Paola, Ranaei-Zamani, Niccole, Kowobari, Olayinka, Hillman, Sara, Siassakos, Dimitrios, David, Anna, Mitra, Subhabrata, Tachtsidis, Ilias
Broadband NIRS (bNIRS) is an extension of fNIRS that provides the same assessment of oxygenation biomarkers along with a valuable marker for oxygen metabolism at a cellular level, the oxidation state of cytochrome-c-oxidase (oxCCO). bNIRS implements
Externí odkaz:
http://arxiv.org/abs/2407.04515
The "AI for Science, Energy, and Security" report from DOE outlines a significant focus on developing and optimizing artificial intelligence workflows for a foundational impact on a broad range of DOE missions. With the pervasive usage of artificial
Externí odkaz:
http://arxiv.org/abs/2404.06675
Autor:
Patra, Braja Gopal, Lepow, Lauren A., Kumar, Praneet Kasi Reddy Jagadeesh, Vekaria, Veer, Sharma, Mohit Manoj, Adekkanattu, Prakash, Fennessy, Brian, Hynes, Gavin, Landi, Isotta, Sanchez-Ruiz, Jorge A., Ryu, Euijung, Biernacka, Joanna M., Nadkarni, Girish N., Talati, Ardesheer, Weissman, Myrna, Olfson, Mark, Mann, J. John, Charney, Alexander W., Pathak, Jyotishman
Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), individual-level SS/SI is typically documented as narrative clinical notes r
Externí odkaz:
http://arxiv.org/abs/2403.17199
Autor:
Chen, Yuhan, Ye, Haojie, Vedula, Sanketh, Bronstein, Alex, Dreslinski, Ronald, Mudge, Trevor, Talati, Nishil
Graph sparsification is a technique that approximates a given graph by a sparse graph with a subset of vertices and/or edges. The goal of an effective sparsification algorithm is to maintain specific graph properties relevant to the downstream task w
Externí odkaz:
http://arxiv.org/abs/2311.12314
Temporal motif mining is the task of finding the occurrences of subgraph patterns within a large input temporal graph that obey the specified structural and temporal constraints. Despite its utility in several critical application domains that demand
Externí odkaz:
http://arxiv.org/abs/2310.02800
Vector processing has become commonplace in today's CPU microarchitectures. Vector instructions improve performance and energy which is crucial for resource-constraint mobile devices. The research community currently lacks a comprehensive benchmark s
Externí odkaz:
http://arxiv.org/abs/2309.02680
While explainability is a desirable characteristic of increasingly complex black-box models, modern explanation methods have been shown to be inconsistent and contradictory. The semantics of explanations is not always fully understood - to what exten
Externí odkaz:
http://arxiv.org/abs/2307.07636