Igor Fedorov

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 42

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape. CoRR (2023)
Wei Wen, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Hang Yin, Weiwei Chu, Kaveh Hassani, Mengying Sun, Jiang Liu, Xu Wang, Lin Jiang, Yuxin Chen, Buyun Zhang, Xi Liu, Dehua Cheng, Zhengxing Chen, Guang Zhao, Fangqiu Han, Jiyan Yang, Yuchen Hao, Liang Xiong, Wen-Yen Chen
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale. CoRR (2023)
Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
Efficient Edge Inference by Selective Query. ICLR (2023)
Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR (2023)
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR (2023)
Konstantin V. Zhukovsky, Igor Fedorov
Beam Asymmetry, Divergence and Energy Spread Effects on the Radiation from Planar Undulators. Symmetry 14 (7) (2022)
Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units. NeurIPS (2022)
Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough
UDC: Unified DNAS for Compressible TinyML Models. CoRR (2022)
Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov
Magnitude-aware Probabilistic Speaker Embeddings. CoRR (2022)
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
Restructurable Activation Networks. CoRR (2022)
Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov
Magnitude-Aware Probabilistic Speaker Embeddings. Odyssey (2022)
Konstantin V. Zhukovsky, Igor Fedorov
Spontaneous and Stimulated Undulator Radiation in Symmetric and Asymmetric Multi-Periodic Magnetic Fields. Symmetry 13 (1) (2021)
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys (2021)
Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Hiba H. Alqaysi, Igor Fedorov, Faisal Z. Qureshi, Mattias O'Nils
A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms. J. Imaging 7 (11) (2021)
Igor Fedorov, Benny Thörnberg, Hiba H. Alqaysi, Najeem Lawal, Mattias O'Nils
A Two-Layer 3-D Reconstruction Method and Calibration for Multicamera-Based Volumetric Positioning and Characterization. IEEE Trans. Instrum. Meas. 70 (2021)
Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning. ICASSP (2020)
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
MANGO: A Python Library for Parallel Hyperparameter Tuning. CoRR (2020)
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. CoRR (2020)
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. INTERSPEECH (2020)
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
Mango: A Python Library for Parallel Hyperparameter Tuning. ICASSP (2020)
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. CoRR (2020)
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina
Compressing RNNs for IoT devices by 15-38x using Kronecker Products. CoRR (2019)
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers. NeurIPS (2019)
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Benny Thörnberg, Mattias O'Nils
Design Exploration of Multi-Camera Dome. ICDSC (2019)
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers. CoRR (2019)
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
Pushing the limits of RNN Compression. CoRR (2019)
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
Pushing the limits of RNN Compression. EMC2@NeurIPS (2019)
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils
Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring. ICDSC (2018)
Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem. Signal Process. 146 (2018)
Igor Fedorov, Najeem Lawal, Benny Thörnberg, Hiba H. Alqaysi, Mattias O'Nils
Towards calibration of outdoor multi-camera visual monitoring system. ICDSC (2018)
Igor Fedorov, Bhaskar D. Rao
Re-Weighted Learning for Sparsifying Deep Neural Networks. CoRR (2018)
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. IEEE Trans. Signal Process. 66 (12) (2018)
Igor Fedorov, Bhaskar D. Rao
Multimodal Sparse Bayesian Dictionary Learning. CoRR (2018)
Igor Fedorov, Najeem Lawal, Mattias O'Nils, Hiba H. Alqaysi
Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring. ICDSC (2017)
Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification. ICASSP (2017)
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils
Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance. ICDSC (2017)
Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao
Spect image reconstruction under imaging time constraints. ACSSC (2017)
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
Relevance Subject Machine: A Novel Person Re-identification Framework. CoRR (2017)
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition. ICIP (2016)
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition. CoRR (2016)
Alican Nalci, Igor Fedorov, Bhaskar D. Rao
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. CoRR (2016)
Pradeep S. Shenoy, Igor Fedorov, Tyler Neyens, Philip T. Krein
Power delivery for series connected voltage domains in digital circuits. ICEAC (2011)

Igor Fedorov.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Igor Fedorov