Publications
Asterisk indicates equal contribution.
2023
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arXiv
Unsupervised Learning of Structured Representations via Closed-Loop TranscriptionarXiv preprint 2023 -
ICLR Submission
The Emergence of Prototypicality: Unsupervised Feature Learning in Hyperbolic SpaceIn Submitted to International Conference on Learning Representations (ICLR) 2023 -
WACV
Compact and Optimal Deep Learning with Recurrent Parameter GeneratorsIEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 -
ICLR - OralOn the Duality Between Contrastive and Non-Contrastive Self-Supervised LearningInternational Conference on Learning Representations (ICLR - Oral) 2023
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ICLR - Spotlight
Minimalistic Unsupervised Learning with the Sparse Manifold TransformInternational Conference on Learning Representations (ICLR - Spotlight) 2023
2022
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CVPR
Clipped Hyperbolic Classifiers Are Super-Hyperbolic ClassifiersIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 -
arXiv
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ECCV
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arXiv
Intra-Instance Vicreg: Bag of Self-Supervised Image Patch Embedding Explains the PerformancearXiv preprint 2022
2021
2020
2019
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Ph.D. Thesis
The Sparse Manifold Transform and Unsupervised Learning for Signal RepresentationUniversity of California, Berkeley 2019 -
Annual Meeting of SFN
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arXiv
2018
2015
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RCIM
Nonparametric Statistical Learning Control of Robot Manipulators for Trajectory or Contour TrackingRobotics and Computer-Integrated Manufacturing (RCIM) 2015
2013
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TIS
Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUsIEICE Transactions on Information and Systems (TIS) 2013 -
VLSI
Orchestrating Cache Management and Memory Scheduling for GPGPU ApplicationsIEEE Transactions on Very Large Scale Integration (VLSI) 2013
2012
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JCST
Providing Source Code Level Portability Between CPU and GPU with MapCGJournal of Computer Science and Technology (JCST) 2012
2011
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DAC
Hermes: an Integrated CPU/GPU Microarchitecture for IP RoutingACM/EDAC/IEEE Design Automation Conference (DAC) 2011