VS
cs.CVcs.ARcs.ROcs.LGcs.DCcs.ETeess.IVSaccadesSmartphonecs.AI

On Valency

published · living versions
W_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version

Preprints & journals

46 papers in the corpus · 2016–2026
AccelForge: Comprehensive Modeling and Co-Design Framework for AI Accelerators2609.11906v1 · Tanner Andrulis, Michael Gilbert, Vivienne Sze et al.2026 · 0 citationsarXiv
iPad Eye Tracking Reproduces Clinical Grade Oculomotor Differences in Parkinson's Disease.42156978 · Koerner, Jamie, Zou, Erin, Karl, Jessica A et al.2026 · 0 citationsNPJ digital medicine. 2026;9(1)
UfM*: Uncertainty from Motion* for DNN Depth Estimation Using Gaussians2605.23098v1 · Soumya Sudhakar, Sertac Karaman, Vivienne Sze2026 · 0 citationsarXiv
Fast and Fusiest: An Optimal Fusion-Aware Mapper for Accelerator Design2602.15166v2 · Tanner Andrulis, Michael Gilbert, Vivienne Sze et al.2026 · 0 citationsarXiv
The Turbo-Charged Mapper: Fast and Optimal Mapping for Energy-efficient and Low-latency Accelerator Design2602.15172v2 · Michael Gilbert, Tanner Andrulis, Vivienne Sze et al.2026 · 0 citationsarXiv
Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping2603.29005v1 · Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman et al.2026 · 0 citationsarXiv
DecTrain: Deciding When to Train a Monocular Depth DNN Online2410.02980v2 · Zih-Sing Fu, Soumya Sudhakar, Sertac Karaman et al.2024 · 1 citationarXiv
GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians2409.09295v2 · Dasong Gao, Peter Zhi Xuan Li, Vivienne Sze et al.2024 · 1 citationarXiv
CiMLoop: A Flexible, Accurate, and Fast Compute-In-Memory Modeling Tool2405.07259v2 · Tanner Andrulis, Joel S. Emer, Vivienne Sze2024 · 30 citationsISPASS 2024 pp. 10-23
Architecture-Level Modeling of Photonic Deep Neural Network Accelerators2405.07266v2 · Tanner Andrulis, Gohar Irfan Chaudhry, Vinith M. Suriyakumar et al.2024 · 5 citationsISPASS 2024 pp. 307-309
LoopTree: Exploring the Fused-layer Dataflow Accelerator Design Space2409.13625v4 · Michael Gilbert, Yannan Nellie Wu, Joel S. Emer et al.2024 · 6 citationsarXiv
Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity2310.00192v2 · Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer et al.2023 · 11 citations56th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '23), 2023
Modeling Analog-Digital-Converter Energy and Area for Compute-In-Memory Accelerator Design2404.06553v2 · Tanner Andrulis, Ruicong Chen, Hae-Seung Lee et al.2024 · 3 citationsarXiv
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model2306.03740v3 · Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze2023 · 15 citationsIEEE Transactions on Robotics 40 (2024) 1339-1355
Gemino: Practical and Robust Neural Compression for Video Conferencing2209.10507v4 · Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy et al.2022 · 3 citationsUSENIX NSDI 2024
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity2305.12718v2 · Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan et al.2023 · 28 citationsarXiv
Sparseloop: An Analytical Approach To Sparse Tensor Accelerator Modeling2205.05826v3 · Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar et al.2022 · 78 citationsarXiv
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time2210.03623v1 · Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman et al.2022 · 4 citationsarXiv
Developing a Series of AI Challenges for the United States Department of the Air Force2207.07033v1 · Vijay Gadepally, Gregory Angelides, Andrei Barbu et al.2022 · 4 citationsarXiv
App-Based Saccade Latency and Directional Error Determination Across the Adult Age Spectrum.34529556 · Lai, Hsin-Yu, Saavedra-Pena, Gladynel, Sodini, Charles et al.2022 · 11 citationsIEEE transactions on bio-medical engineering. 2022;69(2):1029-1039
Searching for Efficient Multi-Stage Vision Transformers2109.00642v1 · Yi-Lun Liao, Sertac Karaman, Vivienne Sze2021 · 12 citationsarXiv
Measuring Saccade Latency Using Smartphone Cameras.31056528 · Lai, Hsin-Yu, Saavedra-Pena, Gladynel, Sodini, Charles G et al.2021 · 35 citationsIEEE journal of biomedical and health informatics. 2020;24(3):885-897
Freely scalable and reconfigurable optical hardware for deep learning.33542343 · Bernstein, Liane, Sludds, Alexander, Hamerly, Ryan et al.2021 · 75 citationsScientific reports. 2021;11(1):3144
App-based saccade latency and error determination across the adult age spectrum2012.09723v1 · Hsin-Yu Lai, Gladynel Saavedra-Pena, Charles G. Sodini et al.2020 · 0 citationsarXiv
Freely scalable and reconfigurable optical hardware for deep learning2006.13926v1 · Liane Bernstein, Alexander Sludds, Ryan Hamerly (1 et al.2020 · 75 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Determination of Saccade Latency Distributions using Video Recordings from Consumer-grade Devices.30440548 · Saavedra-Pena, Gladynel, Lai, Hsin-Yu, Sze, Vivienne et al.2019 · 6 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2018;2018:953-956
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices1807.07928v2 · Yu-Hsin Chen, Tien-Ju Yang, Joel Emer et al.2018 · 1,124 citationsarXiv
FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping1905.02238v1 · Zhengdong Zhang, Trevor Henderson, Sertac Karaman et al.2019 · 38 citationsarXiv
Low Power Depth Estimation of Rigid Objects for Time-of-Flight Imaging1810.01930v2 · James Noraky, Vivienne Sze2018 · 15 citationsarXiv
DeeperLab: Single-Shot Image Parser1902.05093v2 · Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu et al.2019 · 161 citationsarXiv
FastDepth: Fast Monocular Depth Estimation on Embedded Systems1903.03273v1 · Diana Wofk, Fangchang Ma, Tien-Ju Yang et al.2019 · 392 citationsarXiv
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications1804.03230v2 · Tien-Ju Yang, Andrew Howard, Bo Chen et al.2018 · 598 citationsarXiv
Hardware for Machine Learning: Challenges and Opportunities1612.07625v5 · Vivienne Sze, Yu-Hsin Chen, Joel Emer et al.2016 · 190 citationsarXiv
Efficient Processing of Deep Neural Networks: A Tutorial and Survey1703.09039v2 · Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang et al.2017 · 4,287 citationsarXiv
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning1611.05128v4 · Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze2016 · 772 citationsarXiv
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision1703.05853v1 · Amr Suleiman, Yu-Hsin Chen, Joel Emer et al.2017 · 60 citationsarXiv
Career total: 166 works. 46 are in this corpus.

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