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Publication search results
found 177 matches
- 2024
- Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, Joo-Young Kim:
EPU: An Energy-Efficient Explainable AI Accelerator With Sparsity-Free Computation and Heat Map Compression/Pruning. IEEE J. Solid State Circuits 59(3): 830-841 (2024) - Neri Merhav:
Lossy Compression of Individual Sequences Revisited: Fundamental Limits of Finite-State Encoders. CoRR abs/2401.01779 (2024) - Jack Weinberg, Avijit Mandal, Henry D. Pfister:
Quantum State Compression with Polar Codes. CoRR abs/2402.18684 (2024) - 2023
- Vedang M. Deshpande, Ankush Chakrabarty, Abraham P. Vinod, Christopher R. Laughman:
Physics-Constrained Deep Autoencoded Kalman Filters for Estimating Vapor Compression System States. IEEE Control. Syst. Lett. 7: 3483-3488 (2023) - Stephen J. Frasier, Fabrizio Argenti, Luca Facheris:
Predistortion for Very Low Pulse-Compression Sidelobes in Solid-State Meteorological Radar. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Han Wang:
Efficient algorithm for full-state quantum circuit simulation with DD compression while maintaining accuracy. Quantum Inf. Process. 22(11): 413 (2023) - Xianzhi Zeng, Shuhao Zhang:
A Hardware-Conscious Stateful Stream Compression Framework for IoT Applications (Vision). DEBS 2023: 7-12 - Yu-Chien Lin, Ta-Sung Lee, Zhi Ding:
Training-Free Cost-Efficient Compression for Massive MIMO Channel State Feedback. GLOBECOM 2023: 3391-3396 - Marcus Valtonen Örnhag, Stefan Ingi Adalbjörnsson, Püren Güler, Mojtaba Mahdavi:
A Critical Look at Recent Trends in Compression of Channel State Information. ICASSP 2023: 1-5 - Adam Ilnicki, Mariusz Rzasa:
Numerical modelling of engine operation with a variable state of compression. ITTAP 2023: 462-471 - Md. Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, Tanmoy Debnath:
Efficient quantum image representation and compression circuit using zero-discarded state preparation approach. CoRR abs/2306.12634 (2023) - 2022
- Xianchao Zhu, Tianyi Huang, Ruiyuan Zhang, William Zhu:
WDIBS: Wasserstein deterministic information bottleneck for state abstraction to balance state-compression and performance. Appl. Intell. 52(6): 6316-6329 (2022) - Retraction Note to: Test data compression for digital circuits using tetrad state skip scheme. Des. Autom. Embed. Syst. 26(2): 127 (2022)
- Sitao Zhang, Kainan Ma, Yibo Yin, Binbin Ren, Ming Liu:
A Personalized Compression Method for Steady-State Visual Evoked Potential EEG Signals. Inf. 13(4): 186 (2022) - Shubham M. More, Jyotirmoy Kakati, Sukhomay Pal, Ujjwal K. Saha:
Implementation of Soft Computing Techniques in Predicting and Optimizing the Operating Parameters of Compression Ignition Diesel Engines: State-of-the-Art Review, Challenges, and Future Outlook. J. Comput. Inf. Sci. Eng. 22(5) (2022) - Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo:
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer. IEEE J. Solid State Circuits 57(4): 999-1012 (2022) - Foad Sohrabi, Tao Jiang, Wei Yu:
Learning Progressive Distributed Compression Strategies From Local Channel State Information. IEEE J. Sel. Top. Signal Process. 16(3): 573-584 (2022) - Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen:
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5572-5589 (2022) - Guijiao Du, Chengcheng Zhou, Leong-Chuan Kwek:
Compression and reduction of N*1 states by unitary matrices. Quantum Inf. Process. 21(2): 80 (2022) - Zahra Baghali Khanian, Andreas J. Winter:
General Mixed-State Quantum Data Compression With and Without Entanglement Assistance. IEEE Trans. Inf. Theory 68(5): 3130-3138 (2022) - Kundi Yao, Mohammed Sayagh, Weiyi Shang, Ahmed E. Hassan:
Improving State-of-the-Art Compression Techniques for Log Management Tools. IEEE Trans. Software Eng. 48(8): 2748-2760 (2022) - Vedang M. Deshpande, Christopher R. Laughman, Yingbo Ma, Chris Rackauckas:
Constrained Smoothers for State Estimation of Vapor Compression Cycles. ACC 2022: 2333-2340 - Muhammad Shahzeb Khan Gul, Hamid Suleman, Michel Bätz, Joachim Keinert:
RNNSC: Recurrent Neural Network-Based Stereo Compression Using Image and State Warping. DCC 2022: 455 - Michael Leuschel:
Operation Caching and State Compression for Model Checking of High-Level Models - How to Have Your Cake and Eat It. IFM 2022: 129-145 - Stanley Bak, Hoang-Dung Tran:
Neural Network Compression of ACAS Xu Early Prototype Is Unsafe: Closed-Loop Verification Through Quantized State Backreachability. NFM 2022: 280-298 - Stanley Bak, Hoang-Dung Tran:
Neural Network Compression of ACAS Xu is Unsafe: Closed-Loop Verification through Quantized State Backreachability. CoRR abs/2201.06626 (2022) - Foad Sohrabi, Tao Jiang, Wei Yu:
Learning Progressive Distributed Compression Strategies from Local Channel State Information. CoRR abs/2203.04747 (2022) - Zahra Baghali Khanian:
Strong Converse Bounds for Compression of Mixed States. CoRR abs/2206.09415 (2022) - 2021
- Winfield Chen, Lloyd T. Elliott:
Compression for population genetic data through finite-state entropy. J. Bioinform. Comput. Biol. 19(5): 2150026:1-2150026:15 (2021) - Ziyun Li, Zhehong Wang, Li Xu, Qing Dong, Bowen Liu, Chin-I Su, Wen-Ting Chu, George Tsou, Yu-Der Chih, Tsung-Yung Jonathan Chang, Dennis Sylvester, Hun-Seok Kim, David T. Blaauw:
RRAM-DNN: An RRAM and Model-Compression Empowered All-Weights-On-Chip DNN Accelerator. IEEE J. Solid State Circuits 56(4): 1105-1115 (2021)
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