Igor Fedorov

58 papers A* 6A 1B 2Misc 4Journal 33Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment.
CoRR
Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi
2025 J jnl
MobileLLM-Pro Technical Report.
CoRR
Patrick Huber, Ernie Chang, Wei Wen, Igor Fedorov, Tarek Elgamal, Hanxian Huang, Naveen Suda, Chinnadhurai Sankar, Vish Vogeti, Yanghan Wang, Alex Gladkov, Kai Sheng Tai, Abdelrahman Elogeel, Tarek Hefny, Vikas Chandra, Ahmed Aly, Anuj Kumar, Raghuraman Krishnamoorthi, Adithya Sagar
2025 A* conf
SpinQuant: LLM Quantization with Learned Rotations.
ICLR
Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort
2025 J jnl
The Path Not Taken: RLVR Provably Learns Off the Principals.
CoRR
Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai
2025 J jnl
∇QDARTS: Quantization as an Elastic Dimension to Differentiable NAS.
Trans. Mach. Learn. Res.
Payman Behnam, Uday Kamal, Sanjana Vijay Ganesh, Zhaoyi Li, Michael Jurado, Alind Khare, Igor Fedorov, Gaowen Liu, Alexey Tumanov
2024 B conf
DistDNAS: Search Efficient Feature Interactions within 2 Hours.
IEEE Big Data
Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2024 J jnl
DεS: Delayed ε-Shrinking for Faster Once-For-All Training.
CoRR
Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
2024 — conf
DεpS: Delayed ε-Shrinking for Faster Once-for-All Training.
ECCV (89)
Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov
2024 J jnl
Llama Guard 3-1B-INT4: Compact and Efficient Safeguard for Human-AI Conversations.
CoRR
Igor Fedorov, Kate Plawiak, Lemeng Wu, Tarek Elgamal, Naveen Suda, Eric Smith, Hongyuan Zhan, Jianfeng Chi, Yuriy Hulovatyy, Kimish Patel, Zechun Liu, Changsheng Zhao, Yangyang Shi, Tijmen Blankevoort, Mahesh Pasupuleti, Bilge Soran, Zacharie Delpierre Coudert, Rachad Alao, Raghuraman Krishnamoorthi, Vikas Chandra
2024 A* conf
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.
ICML
Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra
2024 J jnl
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.
CoRR
Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra
2024 — conf
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
WWW (Companion Volume)
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
2024 A* conf
SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape.
KDD
Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2024 J jnl
SpinQuant: LLM quantization with learned rotations.
CoRR
Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort
2023 J jnl
DistDNAS: Search Efficient Feature Interactions within 2 Hours.
CoRR
Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2023 A* conf
Efficient Edge Inference by Selective Query.
ICLR
Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
2023 J jnl
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR
Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough
2023 J jnl
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta Scale.
CoRR
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
2023 J jnl
SiGeo: Sub-One-Shot NAS via Information Theory and Geometry of Loss Landscape.
CoRR
Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2022 J jnl
Beam Asymmetry, Divergence and Energy Spread Effects on the Radiation from Planar Undulators.
Symmetry
Konstantin V. Zhukovsky, Igor Fedorov
2022 — conf
Magnitude-Aware Probabilistic Speaker Embeddings.
Odyssey
Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov
2022 J jnl
Magnitude-aware Probabilistic Speaker Embeddings.
CoRR
Nikita Kuzmin, Igor Fedorov, Alexey Sholokhov
2022 J jnl
Restructurable Activation Networks.
CoRR
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
2022 A* conf
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units.
NeurIPS
Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough
2022 J jnl
UDC: Unified DNAS for Compressible TinyML Models.
CoRR
Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough
2021 J jnl
A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms.
J. Imaging
Hiba H. Alqaysi, Igor Fedorov, Faisal Z. Qureshi, Mattias O'Nils
2021 J jnl
A Two-Layer 3-D Reconstruction Method and Calibration for Multicamera-Based Volumetric Positioning and Characterization.
IEEE Trans. Instrum. Meas.
Igor Fedorov, Benny Thörnberg, Hiba H. Alqaysi, Najeem Lawal, Mattias O'Nils
2021 J jnl
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products.
ACM J. Emerg. Technol. Comput. Syst.
Urmish Thakker, Igor Fedorov, Chu Zhou, Dibakar Gope, Matthew Mattina, Ganesh Dasika, Jesse G. Beu
2021 — conf
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
MLSys
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2021 J jnl
Spontaneous and Stimulated Undulator Radiation in Symmetric and Asymmetric Multi-Periodic Magnetic Fields.
Symmetry
Konstantin V. Zhukovsky, Igor Fedorov
2020 J jnl
MANGO: A Python Library for Parallel Hyperparameter Tuning.
CoRR
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
2020 Misc conf
Mango: A Python Library for Parallel Hyperparameter Tuning.
ICASSP
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov, Mani B. Srivastava
2020 J jnl
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
CoRR
Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough
2020 Misc conf
SSGD: Sparsity-Promoting Stochastic Gradient Descent Algorithm for Unbiased Dnn Pruning.
ICASSP
Ching Hua Lee, Igor Fedorov, Bhaskar D. Rao, Harinath Garudadri
2020 A conf
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids.
INTERSPEECH
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough
2020 J jnl
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids.
CoRR
Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough
2019 J jnl
Compressing RNNs for IoT devices by 15-38x using Kronecker Products.
CoRR
Urmish Thakker, Jesse G. Beu, Dibakar Gope, Chu Zhou, Igor Fedorov, Ganesh Dasika, Matthew Mattina
2019 — conf
Design Exploration of Multi-Camera Dome.
ICDSC
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Benny Thörnberg, Mattias O'Nils
2019 — conf
Pushing the limits of RNN Compression.
EMC2@NeurIPS
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
2019 J jnl
Pushing the limits of RNN Compression.
CoRR
Urmish Thakker, Igor Fedorov, Jesse G. Beu, Dibakar Gope, Chu Zhou, Ganesh Dasika, Matthew Mattina
2019 A* conf
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers.
NeurIPS
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough
2019 J jnl
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers.
CoRR
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough
2018 J jnl
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem.
Signal Process.
Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri
2018 — conf
Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring.
ICDSC
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils
2018 J jnl
Multimodal Sparse Bayesian Dictionary Learning.
CoRR
Igor Fedorov, Bhaskar D. Rao
2018 J jnl
Re-Weighted Learning for Sparsifying Deep Neural Networks.
CoRR
Igor Fedorov, Bhaskar D. Rao
2018 J jnl
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem.
IEEE Trans. Signal Process.
Alican Nalci, Igor Fedorov, Maher Al-Shoukairi, Thomas T. Liu, Bhaskar D. Rao
2018 — —
Structured Learning with Scale Mixture Priors.
Igor Fedorov
2018 — conf
Towards calibration of outdoor multi-camera visual monitoring system.
ICDSC
Igor Fedorov, Najeem Lawal, Benny Thörnberg, Hiba H. Alqaysi, Mattias O'Nils
2017 — conf
Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance.
ICDSC
Hiba H. Alqaysi, Najeem Lawal, Igor Fedorov, Mattias O'Nils
2017 Misc conf
Multimodal sparse Bayesian dictionary learning applied to multimodal data classification.
ICASSP
Igor Fedorov, Bhaskar D. Rao, Truong Q. Nguyen
2017 — conf
Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring.
ICDSC
Igor Fedorov, Najeem Lawal, Mattias O'Nils, Hiba H. Alqaysi
2017 J jnl
Relevance Subject Machine: A Novel Person Re-identification Framework.
CoRR
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
2017 Misc conf
Spect image reconstruction under imaging time constraints.
ACSSC
Igor Fedorov, Sebastian Obrzut, Bongyong Song, Bhaskar D. Rao
2016 J jnl
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem.
CoRR
Alican Nalci, Igor Fedorov, Bhaskar D. Rao
2016 J jnl
Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition.
CoRR
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
2016 B conf
Robust Bayesian method for simultaneous block sparse signal recovery with applications to face recognition.
ICIP
Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen
2011 — conf
Power delivery for series connected voltage domains in digital circuits.
ICEAC
Pradeep S. Shenoy, Igor Fedorov, Tyler Neyens, Philip T. Krein