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Arnab Mondal
Arnab Mondal
ML Researcher, Apple
Bestätigte E-Mail-Adresse bei apple.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
AK Mondal, J Dolz, C Desrosiers
arXiv preprint arXiv:1810.12241, 2018
1732018
Equivariance with learned canonicalization functions
SO Kaba*, AK Mondal*, Y Zhang, Y Bengio, S Ravanbakhsh
International Conference on Machine Learning, 15546-15566, 2023
832023
Revisiting CycleGAN for semi-supervised segmentation
AK Mondal, A Agarwal, J Dolz, C Desrosiers
arXiv preprint arXiv:1908.11569, 2019
412019
Group equivariant deep reinforcement learning
AK Mondal, P Nair, K Siddiqi
ICML workshop on Inductive Biases, Invariances and Generalization in …, 2020
372020
-ReQ: Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
KK Agrawal*, AK Mondal*, A Ghosh*, BA Richards
Advances in Neural Information Processing Systems, 2022
322022
EqR: Equivariant representations for data-efficient reinforcement learning
AK Mondal, V Jain, K Siddiqi, S Ravanbakhsh
International Conference on Machine Learning, 15908-15926, 2022
322022
Retinal vessel segmentation under extreme low annotation: A GAN based semi-supervised approach
A Mondal*, A Lahiri*, V Jain*, PK Biswas
2020 IEEE International Conference on Image Processing (ICIP), 418-422, 2020
292020
Investigating power laws in deep representation learning
A Ghosh, AK Mondal, KK Agrawal, B Richards
arXiv preprint arXiv:2202.05808, 2022
242022
Equivariant adaptation of large pretrained models
AK Mondal, SS Panigrahi, O Kaba, SR Mudumba, S Ravanbakhsh
Advances in Neural Information Processing Systems 36, 50293-50309, 2023
232023
Structuring Representations Using Group Invariants
M Shakerinava*, AK Mondal*, S Ravanbakhsh
Advances in Neural Information Processing Systems, 2022
192022
Mini-batch graphs for robust image classification
AK Mondal*, V Jain*, K Siddiqi
BMVC 2021, 2021
152021
Retinal vessel segmentation under extreme low annotation: A generative adversarial network approach
A Lahiri, V Jain, A Mondal, PK Biswas
arXiv preprint arXiv:1809.01348, 2018
112018
Low cost autonomous navigation and control of a mechanically balanced bicycle with dual locomotion mode
A Pandey, S Mahajan, A Kosta, D Yadav, V Pandey, S Sahay, S Jha, ...
2015 IEEE International Transportation Electrification Conference (ITEC), 1-10, 2015
62015
Revisiting CycleGAN for semi-supervised segmentation. arXiv 2019
AK Mondal, A Agarwal, J Dolz, C Desrosiers
arXiv preprint arXiv:1908.11569, 1908
51908
Improved canonicalization for model agnostic equivariance
SS Panigrahi, AK Mondal
In CVPR 2024 Workshop on Equivariant Vision: From Theory to Practice, 2024, 2024
42024
Spectra: Surprising effectiveness of pretraining ternary language models at scale
A Kaushal, T Vaidhya, AK Mondal, T Pandey, A Bhagat, I Rish
The Thirteenth International Conference on Learning Representations, 2024
32024
HumMUSS: Human Motion Understanding using State Space Models
AK Mondal, S Alletto, D Tome
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024
32024
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
AK Mondal, SS Panigrahi, S Rajeswar, K Siddiqi, S Ravanbakhsh
The Twelfth International Conference on Learning Representations 2024, 2023
22023
Spectral State Space Model for Rotation-Invariant~ Visual~ Representation~ Learning
S Dastani, A Bahri, M Yazdanpanah, M Noori, D Osowiechi, GAV Hakim, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2025
2025
Symmetry-Aware Generative Modeling through Learned Canonicalization
K Sareen, D Levy, AK Mondal, SO Kaba, T Akhound-Sadegh, ...
NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2025
2025
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