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ORCIDVladimir Ceperic
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Journal Articles
- 2021
[j7]Samuel Kim
, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic:
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4166-4177 (2021)- 2016
- [j6]Marko Magerl, Vladimir Ceperic, Adrijan Baric:
Echo State Networks for Black-Box Modeling of Integrated Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1309-1317 (2016) - 2014
- [j5]Vladimir Ceperic, Niko Bako, Adrijan Baric:
A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications. Expert Syst. Appl. 41(16): 7061-7067 (2014) - [j4]Vladimir Ceperic, Georges G. E. Gielen, Adrijan Baric:
Sparse ε-tube support vector regression by active learning. Soft Comput. 18(6): 1113-1126 (2014) - 2013
- [j3]D. Vrtaric, Vladimir Ceperic, Adrijan Baric:
Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms. Neurocomputing 118: 329-333 (2013) - 2012
- [j2]Vladimir Ceperic, Georges G. E. Gielen, Adrijan Baric:
Recurrent sparse support vector regression machines trained by active learning in the time-domain. Expert Syst. Appl. 39(12): 10933-10942 (2012) - [j1]Vladimir Ceperic, Georges G. E. Gielen, Adrijan Baric:
Sparse multikernel support vector regression machines trained by active learning. Expert Syst. Appl. 39(12): 11029-11035 (2012)
Conference and Workshop Papers
- 2024
- [c9]Mislav Krizan, Ivo Budanovic, Marin Coti, Jurica Kundrata, Vladimir Ceperic, Tvrtko Mandic, Tomislav Markovic, Adrijan Baric:
Design and Verification Challenges in SoC Integration of PicoRV32 RISC-V with Sigma-Delta ADC. MIPRO 2024: 1683-1687 - 2021
- [c8]Alma Trazivuk, André Alberts, Adrijan Baric, Vladimir Ceperic:
Decoupling Analog Conservative Connections Using Waveform Relaxation Method. MIPRO 2021: 131-135 - 2014
- [c7]K. Fukuda, Vladimir Ceperic, Adrijan Baric:
Photocopier PID controller with iterative error compensation. MIPRO 2014: 136-140 - [c6]Vladimir Ceperic, Adrijan Baric:
Reducing Complexity of Echo State Networks with Sparse Linear Regression Algorithms. UKSim 2014: 26-31 - 2013
- [c5]Vladimir Ceperic, Georges G. E. Gielen, Adrijan Baric:
Black-Box Modelling of AC-DC Rectifiers for RFID Applications Using Support Vector Regression Machines. UKSim 2013: 815-819 - 2012
- [c4]Vladimir Ceperic, Adrijan Baric:
A brief overview of the black-box behavioural modelling of electronic circuits for transient simulations. MIPRO 2012: 72-77 - 2007
- [c3]Branimir Pejcinovic, Vladimir Ceperic, Adrijan Baric:
Design and Use of FR-4 CBCPW Lines In Test Fixtures for SMD Components. ICECS 2007: 375-378 - 2004
- [c2]Vladimir Ceperic, Adrijan Baric:
Modeling of analog circuits by using support vector regression machines. ICECS 2004: 391-394 - 2002
- [c1]Hrvoje Markovic, Nikica Maric, Vladimir Ceperic, Adrijan Baric:
High-speed GaAs SCFL digital test structures. ICECS 2002: 635-639
Informal and Other Publications
- 2023
- [i4]Ivan Rep, Vladimir Ceperic:
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity. CoRR abs/2306.00708 (2023) - 2019
- [i3]Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic:
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. CoRR abs/1912.04825 (2019) - 2018
- [i2]Hengameh Bagherian, Scott A. Skirlo, Yichen Shen, Huaiyu Meng, Vladimir Ceperic, Marin Soljacic:
On-Chip Optical Convolutional Neural Networks. CoRR abs/1808.03303 (2018) - [i1]Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk R. Englund, Marin Soljacic:
Photonic Recurrent Ising Sampler. CoRR abs/1811.02705 (2018)
Coauthor Index
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