Klinghoffer, Tzofi, et al. "DISeR: Designing Imaging Systems with Reinforcement Learning." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
Lu, C.*, Yu, Y.*, Karimireddy, S. P., Jordan, M. I., & Raskar, R. (2023). Federated Conformal Predictors for Distributed Uncertainty Quantification. Fortieth International Conference on Machine Learning (ICML 2023)
Kumar, B.*, Lu, C.*, Gupta, G., Palepu, A., Bellamy, D., Raskar, R., & Beam, A. "Conformal Prediction with Large Language Models for Multi-Choice Question Answering." Neural Conversational AI Workshop at ICML 2023.
Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar. "ORCa: Glossy Objects as Radiance-Field Cameras." Conference on Computer Vision and Pattern Recognition.
Connor Henley, Siddharth Somasundaram, Joseph Hollmann, and Ramesh Raskar, "Detection and mapping of specular surfaces using multibounce LiDAR returns," Opt. Express 31, 6370-6388 (2023).
Formal Privacy Guarantees for Neural Network queries by estimating local Lipschitz constant
Private independence testing across two parties
Suat Evren, Praneeth Vepakomma
Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar, IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021
Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training
Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy. "ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors". International Conference on Computer Vision (ICCV) 2021
Tristan Swedish, Connor Henley, Ramesh Raskar; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2593-2602
IEEE Global Communications Conference (GLOBECOM), 2021
Vepakomma, Praneeth et al. Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval. arXiv:2102.10802v1 [cs.LG] 22 Feb 2021
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Xiao Zeng, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram and Salman Avestimehr. "FedML: A Research Library and Benchmark for Federated Machine Learning." NeurIPS-SpicyFL 2020. (Baidu Best Paper Award)
DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, Praneeth Vepakomma, Subha Nawer Pushpita and Ramesh Raskar, PPML (Privacy Preserving Machine Learning workshop) at NeurIPS
Abhishek Singh, Ayush Chopra, Praneeth Vepakomma, Ethan Z Garza, Vivek Sharma, , Ramesh Raskar. "DISCO: Dynamic and Invariant Sensitive Channel Obfuscation." CVPR 2021
Henley, C., Maeda, T., Swedish, T., & Raskar, R. (2020). Imaging Behind Occluders Using Two-Bounce Light. Computer Vision – ECCV 2020 Lecture Notes in Computer Science, 573-588. doi:10.1007/978-3-030-58526-6_34
Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.
Peter Kairouz, H. Brendan McMahan, et al. "Advances and Open Problems in Federated Learning." arXiv:1912.04977 [cs.LG] 10 Dec 2019.
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree KalpathyCramer, and Ramesh Raskar. In NeurIPS Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 2019
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar. In NeurIPS Workshop on Machine learning for the Developing World (ML4D), 2019
Praneeth Vepakomma, et al. "Detailed comparison of communication efficiency of split learning and federated learning." arXiv:1909.09145v1 [cs.LG] 18 Sep 2019.
Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner
Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan. Data Markets to support AI for All: Pricing, Valuation and Governance, arXiv:1905.06462 (2019).
Praneeth Vepakomma, Otkrist Gupta, Abhimanyu Dubey, Ramesh Raskar. Reducing Leakage in Distributed Deep Learning for Sensitive Health Data, ICLR 2019 AI for Social Good Workshop (2019).
Light-Field for RF. Manikanta Kotaru, Guy Satat, Ramesh Raskar, Sachin Katti, arXiv:1901.03953 (2019).
Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya. arXiv:1812.02428
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar. Split learning for health: Distributed deep learning without sharing raw patient data, arXiv.org, ICLR 2019 AI for Social Good Workshop (2018).
Flash Photography for Data-Driven Hidden Scene Recovery. Matthew Tancik, Guy Satat, Ramesh Raskar, arXiv:1810.11710 (2018).
Heshmat, B., Tancik, M., Satat, G. & Raskar, R. Photography optics in the time dimension. Nature Photonics 12, 560–566 (2018). 10.1038/s41566-018-0234-0
G. Satat, M. Tancik and R. Raskar, "Towards Photography Through Realistic Fog", IEEE International Conference on Computational Photography (ICCP), (2018).
Kadambi, Achuta and Raskar, Ramesh, Rethinking Machine Vision Time of Flight with GHz Heterodyning, IEEE Access 2017
Guy Satat, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, and Ramesh Raskar, "Object classification through scattering media with deep learning on time resolved measurement," Opt. Express 25, 17466-17479 (2017)
Kadambi, Achuta, et al. "Depth Sensing Using Geometrically Constrained Polarization Normals." International Journal of Computer Vision 125.1-3 (2017): 34-51.
Munehiko Sato, Rohan S. Puri, Alex Olwal, Yosuke Ushigome, Lukas Franciszkiewicz, Deepak Chandra, Ivan Poupyrev, and Ramesh Raskar. 2017. Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3972-3985.
A Jarabo, B Masia, A Velten, R Raskar, D Gutiérrez Jornada de Jóvenes Investigadores del I3A, 2017
Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar arXiv preprint arXiv:1611.02167
Raviv, D., Bayro-Corrochano, E. & Raskar, R. Int J Comput Vis (2017). doi:10.1007/s11263-017-1002-1
Guy Satat, Matthew Tancik, Ramesh Raskar 10.1109/TCI.2017.2684624
Ayush Bhandari, Aurelien Bourquard, Ramesh Raskar 12 pages, 4 figures, to appear at the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Anshuman J Das, Ramesh Raskar Global Health Informatics: Principles of Ehealth and Mhealth to Improve Quality of Care, page 403
Barmak Heshmat, Genevieve Gariepy, Jonathan Leach, Ramesh Raskar, Daniele Faccio Lasers and Electro-Optics (CLEO), 2016 Conference, IEEE, Pages 1-2
Anshuman J. Das, Tulio A. Valdez, Jose Arbouin Vargas, Punyapat Saksupapchon, Pushyami Rachapudi, Zhifei Ge, Julio C. Estrada, and Ramesh Raskar
Achuta Kadambi, Jamie Schiel, Ramesh Raskar
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar Optica, Vol.3, Issue 7, pp. 754-762
Abhimanyu Dubey, Nikhil Naik, Devi Parikh, Ramesh Raskar, César A Hidalgo Springer International Publishing
Albert Redo-Sanchez, Barmak Heshmat, Alireza Aghasi, Salman Naqvi, Mingjie Zhang, Justin Romberg, Ramesh Raskar Nature Communications, Volume 7, Pages 12665
Andreas Velten, Di Wu, Belen Masia, Adrian Jarabo, Christopher Barsi, Chinmaya Joshi, Everett Lawson, Moungi Bawendi, Diego Gutierrez, Ramesh Raskar Communications of the ACM, Volume 59, Issue 9. Pages 79-86
Ayush Bhandari, Ramesh Raskar IEEE Signal Processing Magazine, Volume 33, Issue 5, Pages 45-58
Guy Satat, Krithika Ramchander, Ramesh Raskar Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference, Pages 4375-4378
Otkrist Gupta, Daniel McDuff, Ramesh Raskar CVPR 2016
Achuta Kadambi, Jamie Schiel, Ramesh Raskar Imaging Systems and Applications, IW3F. 1
Guy Satat, Barmak Heshmat, Tristan Swedish, and Ramesh Raskar Imaging and Applied Optics 2016, OSA Technical Digest (online) (Optical Society of America, 2016), paper JT3A.29.
Hao Li, Lingyu Wei, Anshuman Das, Tristan Swedish, Pratik Shah, Ramesh Raskar ACM SIGGRAPH 2016 Courses, Page 7
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar
Otkrist Gupta, Daniel McDuff, Ramesh Raskar