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Publication search results
found 436 matches
- 2024
- Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. IEEE Trans. Parallel Distributed Syst. 35(3): 421-438 (2024) - Seyed Samie Mostafavi, Marius Tillner, Gourav Prateek Sharma, James Gross:
EDAF: An End-to-End Delay Analytics Framework for 5G-and-Beyond Networks. CoRR abs/2401.09856 (2024) - Lulan Shen, Ali Edalati, Brett H. Meyer, Warren J. Gross, James J. Clark:
Robustness to distribution shifts of compressed networks for edge devices. CoRR abs/2401.12014 (2024) - Lulan Shen, Ali Edalati, Brett H. Meyer, Warren J. Gross, James J. Clark:
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation. CoRR abs/2401.13212 (2024) - Mohammadreza Tayaranian, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation. CoRR abs/2402.01169 (2024) - Guglielmo Gallone, Francesco Iodice, Alberto Presta, Davide Tore, Ovidio De Filippo, Michele Visciano, Carlo Alberto Barbano, Alessandro Serafini, Paola Gorrini, Alessandro Bruno, Walter Grosso Marra, James Hughes, Mario Iannaccone, Paolo Fonio, Attilio Fiandrotti, Alessandro Depaoli, Marco Grangetto, Gaetano Maria de Ferrari, Fabrizio D'Ascenzo:
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray. CoRR abs/2403.18756 (2024) - 2023
- Gourav Prateek Sharma, Dhruvin Patel, Joachim Sachs, Marilet De Andrade, János Farkas, János Harmatos, Balázs Varga, Hans-Peter Bernhard, Raheeb Muzaffar, Mahin Ahmed, Frank Dürr, Dietmar Bruckner, Edgardo Montes de Oca, Drissa Houatra, Hongwei Zhang, James Gross:
Toward Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward. IEEE Access 11: 106898-106923 (2023) - Karl Branting, Sarah McLeod, Sarah Howell, Brandy Weiss, Brett Profitt, James Tanner, Ian Gross, David Shin:
A computational model of facilitation in online dispute resolution. Artif. Intell. Law 31(3): 465-490 (2023) - Ryan J. Murray, Sylvia D. Kreibig, Corinna Pehrs, Patrik Vuilleumier, James J. Gross, Andrea C. Samson:
Mixed emotions to social situations: An fMRI investigation. NeuroImage 271: 119973 (2023) - Pardis Miri, Horia Margarit, Andero Uusberg, Keith Marzullo, Tali M. Ball, Daniel Yamins, Robert Flory, James J. Gross:
Challenges in Evaluating Technological Interventions for Affect Regulation. IEEE Trans. Affect. Comput. 14(3): 2430-2442 (2023) - Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross:
Energy Efficient Sampling Policies for Edge Computing Feedback Systems. IEEE Trans. Mob. Comput. 22(8): 4634-4647 (2023) - Petr Slovák, Alissa Nicole Antle, Nikki Theofanopoulou, Claudia Daudén Roquet, James J. Gross, Katherine Isbister:
Designing for Emotion Regulation Interventions: An Agenda for HCI Theory and Research. ACM Trans. Comput. Hum. Interact. 30(1): 1-51 (2023) - Hung-Yang Chang, Seyyed Hasan Mozafari, Cheng Chen, James J. Clark, Brett H. Meyer, Warren J. Gross:
PipeBERT: High-throughput BERT Inference for ARM Big.LITTLE Multi-core Processors. J. Signal Process. Syst. 95(7): 877-894 (2023) - Eric James McDermott, Johanna Metsomaa, Paolo Belardinelli, Moritz Grosse-Wentrup, Ulf Ziemann, Christoph Zrenner:
Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation. Virtual Real. 27(1): 347-369 (2023) - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. ACL (Findings) 2023: 13387-13434 - Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT. ASAP 2023: 69-75 - Lulan Shen, Ibtihel Amara, Ruofeng Li, Brett H. Meyer, Warren J. Gross, James J. Clark:
Fast Fine-Tuning Using Curriculum Domain Adaptation. CRV 2023: 296-303 - Seyed Samie Mostafavi, Neelabhro Roy, György Dán, James Gross:
Active Queue Management with Data-Driven Delay Violation Probability Predictors. GLOBECOM 2023: 6371-6376 - Samie Mostafavi, Gourav Prateek Sharma, James Gross:
Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities. GLOBECOM 2023: 4338-4344 - Hung-Yang Chang, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline. ACM Great Lakes Symposium on VLSI 2023: 455-459 - Seyed Samie Mostafavi, Vishnu Narayanan Moothedath, Stefan Rönngren, Neelabhro Roy, Gourav Prateek Sharma, Sangwon Seo, Manuel Osvaldo Jesus Olguin Muñoz, James Gross:
ExPECA: An Experimental Platform for Trustworthy Edge Computing Applications. SEC 2023: 294-299 - Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Training Acceleration of Frequency Domain CNNs Using Activation Compression. ISCAS 2023: 1-5 - Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera, Vishnu Narayanan Moothedath, James Gross, Jaya Prakash Champati:
The Case for Hierarchical Deep Learning Inference at the Network Edge. NetAISys@MobiSys 2023: 3:1-3:6 - Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. SC Workshops 2023: 263-271 - Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao:
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications. SC 2023: 44:1-44:15 - Molham Alsakati, Charlie Pettersson, Sebastian Max, Vishnu Narayanan Moothedath, James Gross:
Performance of 802.11be Wi-Fi 7 with Multi-Link Operation on AR Applications. WCNC 2023: 1-6 - Alexandru-Daniel Marcu, S. Krishna Gowtam Peesapati, Jessica Moysen Cortes, Sahar Imtiaz, James Gross:
Explainable Artificial Intelligence for Energy-Efficient Radio Resource Management. WCNC 2023: 1-6 - Neelabhro Roy, Seyed Samie Mostafavi, James Gross:
Semantically Optimized End-to-End Learning for Positional Telemetry in Vehicular Scenarios. WiMob 2023: 425-430 - Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao:
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. CoRR abs/2301.01901 (2023) - Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross:
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge. CoRR abs/2304.00891 (2023)
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