Ramesh Raskar

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 180

Top Venues

Publications

Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy. CoRR (2024)
Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
First 100 days of Pandemic: An Interplay of Pharmaceutical, Behavioral and Digital Interventions - A Study using Agent Based Modeling. AAMAS (2024)
Seungeun Oh, Hyelin Nam, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
Mix2SFL: Two-Way Mixup for Scalable, Accurate, and Communication-Efficient Split Federated Learning. IEEE Trans. Big Data 10 (3) (2024)
Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar
Private Agent-Based Modeling. AAMAS (2024)
Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low
Incentive-Aware Federated Learning with Training-Time Model Rewards. ICLR (2024)
Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar
Data Acquisition via Experimental Design for Decentralized Data Markets. CoRR (2024)
Charles Lu, Mohammad Mohammadi Amiri, Ramesh Raskar
Data Measurements for Decentralized Data Markets. CoRR (2024)
Gauri Gupta, Ritvik Kapila, Ayush Chopra, Ramesh Raskar
First 100 days of pandemic; an interplay of pharmaceutical, behavioral and digital interventions - A study using agent based modeling. CoRR (2024)
Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar
flame: A Framework for Learning in Agent-based ModEls. AAMAS (2024)
Zaid Tasneem, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images. CoRR (2024)
Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray Kuru, Michael J. Wooldridge, Ramesh Raskar
Private Agent-Based Modeling. CoRR (2024)
Akshat Dave, Tianyi Zhang, Aaron Young, Ramesh Raskar, Wolfgang Heidrich, Ashok Veeraraghavan
NeST: Neural Stress Tensor Tomography by leveraging 3D Photoelasticity. CoRR (2024)
Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models. CoRR (2024)
Manasi Muglikar, Siddharth Somasundaram, Akshat Dave, Edoardo Charbon, Ramesh Raskar, Davide Scaramuzza
Event Cameras Meet SPADs for High-Speed, Low-Bandwidth Imaging. CoRR (2024)
Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar
Federated Conformal Predictors for Distributed Uncertainty Quantification. CoRR (2023)
Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram, Yuchen Fan, Christian Richardt, Ramesh Raskar, Rakesh Ranjan
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar. CoRR (2023)
Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging. CVPR (2023)
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
Towards Viewpoint Robustness in Bird's Eye View Segmentation. CoRR (2023)
Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar
DISeR: Designing Imaging Systems with Reinforcement Learning. CoRR (2023)
Siddharth Somasundaram, Akshat Dave, Connor Henley, Ashok Veeraraghavan, Ramesh Raskar
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging. CoRR (2023)
Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Anisoara Calinescu, Ramesh Raskar, Michael J. Wooldridge
Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. AAMAS (2023)
Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar
Fundamentals of Task-Agnostic Data Valuation. AAAI (2023)
Indrajit Ray, Bhavani Thuraisingham, Jaideep Vaidya, Sharad Mehrotra, Vijayalakshmi Atluri, Indrakshi Ray, Murat Kantarcioglu, Ramesh Raskar, Babak Salimi, Steve Simske, Nalini Venkatasubramanian, Vivek K. Singh
SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups. SACMAT (2023)
Seung-Hwan Baek, Ramesh Raskar, Jinwei Ye, Akshat Dave, Achuta Kadambi, Huaijin (George) Chen
Polarization-Based Visual Computing. SIGGRAPH Courses (2023)
Praneeth Vepakomma, Yulia Kempner, Rodmy Paredes Alfaro, Ramesh Raskar
Parallel Quasi-Concave Set Function Optimization for Scalability Even Without Submodularity. HPEC (2023)
Abhishek Singh, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release. NeurIPS (2023)
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez
Towards Viewpoint Robustness in Bird's Eye View Segmentation. ICCV (2023)
Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. CoRR (2023)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. AAMAS (2023)
Gauri Gupta, Ritvik Kapila, Keshav Gupta, Ramesh Raskar
Domain Generalization In Robust Invariant Representation. CoRR (2023)
Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar
DISeR: Designing Imaging Systems with Reinforcement Learning. ICCV (2023)
Bhawesh Kumar, Charlie Lu, Gauri Gupta, Anil Palepu, David R. Bellamy, Ramesh Raskar, Andrew Beam
Conformal Prediction with Large Language Models for Multi-Choice Question Answering. CoRR (2023)
Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar
ORCa: Glossy Objects as Radiance-Field Cameras. CVPR (2023)
Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar
Federated Conformal Predictors for Distributed Uncertainty Quantification. ICML (2023)
Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar
Scalable Collaborative Learning via Representation Sharing. CoRR (2022)
Connor Henley, Joseph Hollmann, Ramesh Raskar
Bounce-Flash Lidar. IEEE Trans. Computational Imaging 8 (2022)
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval. AAAI (2022)
Gharib Gharibi, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Zachi Attia, Riddhiman Das, Suraj Kapa, Ramesh Raskar
Blind Inference: An Automated Privacy-Preserving Prediction Service using Secure Multi-Party Computation for Medical Applications. AMIA (2022)
Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. CoRR (2022)
Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar
Fundamentals of Task-Agnostic Data Valuation. CoRR (2022)
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
Differentiable Agent-based Epidemiology. CoRR (2022)
Praneeth Vepakomma, Mohammad Mohammadi Amiri, Clément L. Canonne, Ramesh Raskar, Alex Pentland
Private independence testing across two parties. CoRR (2022)
Gharib Gharibi, Ravi Patel, Anissa Khan, Babak Poorebrahim Gilkalaye, Praneeth Vepakomma, Ramesh Raskar, Steve Penrod, Greg Storm, Riddhiman Das
An Automated Framework for Distributed Deep Learning-A Tool Demo. ICDCS (2022)
Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar
ORCa: Glossy Objects as Radiance Field Cameras. CoRR (2022)
Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar
Towards Learning Neural Representations from Shadows. ECCV (33) (2022)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. CoRR (2022)
Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar
Learning to Censor by Noisy Sampling. ECCV (13) (2022)
Chris Clifton, Bradley A. Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. CoRR (2022)
Connor Henley, Siddharth Somasundaram, Joseph Hollmann, Ramesh Raskar
Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns. CoRR (2022)
Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
Differentially Private CutMix for Split Learning with Vision Transformer. CoRR (2022)
Ibrahim Suat Evren, Praneeth Vepakomma, Ramesh Raskar
The Privacy-Welfare Trade-off: Effects of Differential Privacy on Influence & Welfare in Social Choice. CoRR (2022)
Tzofi Klinghoffer, Kushagra Tiwary, Arkadiusz Balata, Vivek Sharma, Ramesh Raskar
Physically Disentangled Representations. CoRR (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting sensitive information in task agnostic data release. CoRR (2022)
Tzofi Klinghoffer, Siddharth Somasundaram, Kushagra Tiwary, Ramesh Raskar
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging. CoRR (2022)
Tzofi Klinghoffer, Siddharth Somasundaram, Kushagra Tiwary, Ramesh Raskar
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging. ICCP (2022)
Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar
Towards Learning Neural Representations from Shadows. CoRR (2022)
Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release. ECCV (13) (2022)
Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. WWW (2022)
Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Anshuman Sharma, Ishaan Singh, Haris Nazir, Colin Kang, Saurish Srivastava, Parth Patwa, Abhishek Singh, Priyanshi Katiyar, Vitor Pamplona, Ramesh Raskar
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination. CoRR (2021)
Rohan Sukumaran, Parth Patwa, T. V. Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. CoRR (2021)
Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geospatial Technologies. CoRR (2021)
Ayush Chopra, Esma Senturk Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar
DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks. CoRR (2021)
Ayush Bhandari, Felix Krahmer, Ramesh Raskar
On Unlimited Sampling and Reconstruction. IEEE Trans. Signal Process. 69 (2021)
Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar
Can Self Reported Symptoms Predict Daily COVID-19 Cases? CoRR (2021)
Aryan Mahindra, Chandan CV, Priyanshi Katiyar, Anshuman Sharma, Sheshank Shankar, Rohan Sukumaran, Saurish Srivastava, Armaan Bhojwani, Rohan Iyer, Ishaan Singh, Ramesh Raskar
comparing card-based vaccine credential systems with app-based vaccine credential systems. CoRR (2021)
Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. GLOBECOM (2021)
Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuraman TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes. CoRR (2021)
Ayush Chopra, Ramesh Raskar, Jayakumar Subramanian, Balaji Krishnamurthy, Esma Senturk Gel, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley
DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. WSC (2021)
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval. CoRR (2021)
Tristan Swedish, Connor Henley, Ramesh Raskar
Objects as Cameras: Estimating High-Frequency Illumination from Shadows. ICCV (2021)
Yusuke Koda, Jihong Park, Mehdi Bennis, Praneeth Vepakomma, Ramesh Raskar
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning. CoRR (2021)
Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. CVPR (2021)
Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar
Private measurement of nonlinear correlations between data hosted across multiple parties. CoRR (2021)
Rohan Iyer, Regina Rex, Kevin P. McPherson, Darshan Gandhi, Aryan Mahindra, Abhishek Singh, Ramesh Raskar
Spatial K-anonymity: A Privacy-preserving Method for COVID-19 Related Geo-spatial Technologies. GISTAM (2021)
Shraman Pal, Mansi Uniyal, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Moongu Jeon, Jinho Choi
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning. CoRR (2021)
Praneeth Vepakomma, Yulia Kempner, Ramesh Raskar
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity. CoRR (2021)
Abhishek Singh, Ramesh Raskar, Anna Lysyanskaya
Safepaths: Vaccine Diary Protocol and Decentralized Vaccine Coordination System using a Privacy Preserving User Centric Experience. CoRR (2021)
Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings. CoRR (2021)
Ayush Chopra, Surya Kant Sahu, Abhishek Singh, Abhinav Java, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning. CoRR (2021)
Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar
Automatic calibration of time of flight based non-line-of-sight reconstruction. CoRR (2021)
Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar
NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training. FG (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar
Imaging Behind Occluders Using Two-Bounce Light. ECCV (29) (2020)
Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar
Digital Landscape of COVID-19 Testing: Challenges and Opportunities. CoRR (2020)
Agastya Kalra, Vage Taamazyan, Supreeth Krishna Rao, Kartik Venkataraman, Ramesh Raskar, Achuta Kadambi
Deep Polarization Cues for Transparent Object Segmentation. CVPR (2020)
Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
NoPeek: Information leakage reduction to share activations in distributed deep learning. ICDM (Workshops) (2020)
Ramesh Raskar, Deepti Pahwa, Robson Beaudry
Contact Tracing: Holistic Solution Beyond Bluetooth. IEEE Data Eng. Bull. 43 (2) (2020)
Ramesh Raskar, Abhishek Singh, Sam Zimmerman, Shrikant Kanaparti
Adding Location and Global Context to the Google/Apple Exposure Notification Bluetooth API. CoRR (2020)
Ramesh Raskar, Isabel Schunemann, Rachel Barbar, Kristen Vilcans, Jim Gray, Praneeth Vepakomma, Suraj Kapa, Andrea Nuzzo, Rajiv Gupta, Alex Berke, Dazza Greenwood, Christian Keegan, Shriank Kanaparti, Robson Beaudry, David Stansbury, Beatriz Botero Arcila, Rishank Kanaparti, Vitor F. Pamplona, Francesco M. Benedetti, Alina Clough, Riddhiman Das, Kaushal Jain, Khahlil Louisy, Greg Nadeau, Vitor Pamplona, Steve Penrod, Yasaman Rajaee, Abhishek Singh, Greg Storm, John Werner
Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic. CoRR (2020)
Tomohiro Maeda, Ankit Ranjan, Ramesh Raskar
Automatic Differentiation for All Photons Imaging to See Inside Volumetric Scattering Media. CoRR (2020)
Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar
NoPeek: Information leakage reduction to share activations in distributed deep learning. CoRR (2020)
Ramesh Raskar, Greg Nadeau, John Werner, Rachel Barbar, Ashley Mehra, Gabriel Harp, Markus Leopoldseder, Bryan Wilson, Derrick Flakoll, Praneeth Vepakomma, Deepti Pahwa, Robson Beaudry, Emelin Flores, Maciej Popielarz, Akanksha Bhatia, Andrea Nuzzo, Matt Gee, Jay Summet, Rajeev Surati, Bikram Khastgir, Francesco Maria Benedetti, Kristen Vilcans, Sienna Leis, Khahlil Louisy
COVID-19 Contact-Tracing Mobile Apps: Evaluation and Assessment for Decision Makers. CoRR (2020)
Abhishek Singh, Ramesh Raskar
Verifiable Proof of Health using Public Key Cryptography. CoRR (2020)
Jack Erdozain, Kazuto Ichimaru, Tomohiro Maeda, Hiroshi Kawasaki, Ramesh Raskar, Achuta Kadambi
3d Imaging For Thermal Cameras Using Structured Light. ICIP (2020)
Alex Berke, Michiel A. Bakker, Praneeth Vepakomma, Ramesh Raskar, Kent Larson, Alex 'Sandy' Pentland
Assessing Disease Exposure Risk With Location Histories And Protecting Privacy: A Cryptographic Approach In Response To A Global Pandemic. CoRR (2020)
Ramesh Raskar, Sai Sri Sathya
Bluetooth based Proximity, Multi-hop Analysis and Bi-directional Trust: Epidemics and More. CoRR (2020)
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR (2020)
Ramesh Raskar, Ranu Dhillon, Suraj Kapa, Deepti Pahwa, Renaud Falgas, Lagnojita Sinha, Aarathi Prasad, Abhishek Singh, Andrea Nuzzo, Rohan Iyer, Vivek Sharma
Comparing manual contact tracing and digital contact advice. CoRR (2020)
Sheshank Shankar, Ayush Chopra, Rishank Kanaparti, Myungsun Kang, Abhishek Singh, Ramesh Raskar
Proximity Sensing for Contact Tracing. CoRR (2020)
Mikhail Dmitrienko, Abhishek Singh, Patrick Erichsen, Ramesh Raskar
Proximity Inference with Wifi-Colocation during the COVID-19 Pandemic. CoRR (2020)

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Publication Activity (10 Years)

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Ramesh Raskar