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Rahul Garg 0001
Person information
- affiliation: Indian Institute of Technology, Delhi, India
- affiliation (former): IBM T. J. Watson research center, Yorktown Heights, NY, USA
- affiliation (former): IBM India Research Lab., New Delhi, India
Other persons with the same name
- Rahul Garg 0002 — Google Research, Mountain View, CA, USA (and 1 more)
- Rahul Garg 0003 — McGill University, School of Computer Science, Montreal, Canada
- Rahul Garg 0004 — LNM Institute of Information Technology, Jaipur, India
- Rahul Garg 0005 — Samsung India Software Operations Pvt Ltd, Frontier Research Group, Bengaluru, India
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2020 – today
- 2024
- [c41]Amit Prasad
, Rahul Garg
Union of Convex Separators (UCS). COMAD/CODS 2024: 586-587 - [i3]Shivansh Chandra Tripathi, Rahul Garg:
Unsupervised learning of Data-driven Facial Expression Coding System (DFECS) using keypoint tracking. CoRR abs/2406.05434 (2024) - [i2]Shivansh Chandra Tripathi, Rahul Garg:
A PCA based Keypoint Tracking Approach to Automated Facial Expressions Encoding. CoRR abs/2406.09017 (2024) - 2023
- [c40]Shivansh Chandra Tripathi
A PCA-Based Keypoint Tracking Approach to Automated Facial Expressions Encoding. PReMI 2023: 813-823 - 2022
- [j11]Vaibhav Tripathi, Rahul Garg:
Weak task synchronization of default mode network in task based paradigms. NeuroImage 251: 118940 (2022) - [j10]Mustafa Chasmai
A View Independent Classification Framework for Yoga Postures. SN Comput. Sci. 3(6): 476 (2022) - [c39]Raunak Jain, Mrityunjai Singh, A. Ravishankar Rao, Rahul Garg:
Machine Learning Models To Predict Length Of Stay In Hospitals. ICHI 2022: 545-546 - [i1]Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, Rahul Garg:
A View Independent Classification Framework for Yoga Postures. CoRR abs/2206.13577 (2022) - 2020
- [c38]Abhishek Goyal
Effective EEG Connectivity by Sparse Vector Autoregressive Model. COMAD/CODS 2020: 37-45
2010 – 2019
- 2019
- [c37]Aashish Nagpal, Chayan Sharma, Rahul Garg, Pawan Kumar:
Near-Separable Non-negative Matrix Factorization Using L1-Optimization. COMAD/CODS 2019: 121-127 - [c36]Shreenivas Bharadwaj Venkataramanan, Rahul Garg, Yogish Sabharwal:
Acceleration of Sparse Vector Autoregressive Modeling Using GPUs. HiPC 2019: 163-172 - 2018
- [c35]Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal:
SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools. LREC 2018 - 2016
- [j9]Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi:
A Simple and Efficient Algorithm for Computing Market Equilibria. ACM Trans. Algorithms 12(3): 34:1-34:15 (2016) - 2011
- [j8]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage 58(2): 416-441 (2011) - [c34]A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi:
A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI 2011: 1023-1026 - [c33]Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao:
Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI 2011: 1581-1584 - [c32]Rahul Garg, Rohit Khandekar:
Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso. AISTATS 2011: 296-304 - 2010
- [j7]Rahul Garg, Vijay K. Garg, Yogish Sabharwal:
Efficient Algorithms for Global Snapshots in Large Distributed Systems. IEEE Trans. Parallel Distributed Syst. 21(5): 620-630 (2010) - [c31]Rahul Garg, Perwez Shahabuddin, Akshat Verma:
Balanced stream assignment for service facility. HiPC 2010: 1-10
2000 – 2009
- 2009
- [j6]Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao:
Prediction and interpretation of distributed neural activity with sparse models. NeuroImage 44(1): 112-122 (2009) - [c30]Rahul Garg, Rohit Khandekar:
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. ICML 2009: 337-344 - [c29]Vikas Aggarwal, Yogish Sabharwal, Rahul Garg, Philip Heidelberger:
HPCC Random Access benchmark for next generation supercomputers. IPDPS 2009: 1-11 - [c28]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) 2009: 1018-1025 - 2008
- [c27]Yogish Sabharwal, Saurabh Kumar Garg
Optimization of Fast Fourier Transforms on the Blue Gene/L Supercomputer. HiPC 2008: 309-322 - [c26]Sameer Kumar, Yogish Sabharwal, Rahul Garg, Philip Heidelberger:
Optimization of All-to-All Communication on the Blue Gene/L Supercomputer. ICPP 2008: 320-329 - [c25]Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao:
Inferring brain dynamics using granger causality on fMRI data. ISBI 2008: 604-607 - [c24]Lisa Fleischer, Rahul Garg, Sanjiv Kapoor, Rohit Khandekar, Amin Saberi:
A Fast and Simple Algorithm for Computing Market Equilibria. WINE 2008: 19-30 - 2007
- [c23]Manik Varma, Rahul Garg:
Locally Invariant Fractal Features for Statistical Texture Classification. ICCV 2007: 1-8 - [c22]Christopher Barton, Calin Cascaval
Multidimensional Blocking in UPC. LCPC 2007: 47-62 - [c21]Rahul Garg, Sanjiv Kapoor:
Market Equilibrium Using Auctions for a Class of Gross-Substitute Utilities. WINE 2007: 356-361 - 2006
- [j5]Rahul Garg, Sanjiv Kapoor:
Auction Algorithms for Market Equilibrium. Math. Oper. Res. 31(4): 714-729 (2006) - [c20]Rahul Garg, Pradipta De:
Impact of Noise on Scaling of Collectives: An Empirical Evaluation. HiPC 2006: 460-471 - [c19]Rahul Garg, Vijay K. Garg, Yogish Sabharwal:
Scalable algorithms for global snapshots in distributed systems. ICS 2006: 269-277 - [c18]Hiroshi Akiba, Tomonobu Ohyama, Yoshinoir Shibata, Kiyoshi Yuyama, Yoshikazu Katai, Ryuichi Takeuchi, Takeshi Hoshino, Shinobu Yoshimura, Hirohisa Noguchi, Manish Gupta, John A. Gunnels, Vernon Austel, Yogish Sabharwal, Rahul Garg, Shoji Kato, Takashi Kawakami, Satoru Todokoro, Junko Ikeda:
Gordon Bell finalists I - Large scale drop impact analysis of mobile phone using ADVC on Blue Gene/L. SC 2006: 46 - [c17]Rahul Garg, Yogish Sabharwal:
MPI and communication - Software routing and aggregation of messages to optimize the performance of HPCC randomaccess benchmark. SC 2006: 109 - [c16]Rahul Garg, Yogish Sabharwal:
Optimizing the HPCC randomaccess benchmark on blue Gene/L Supercomputer. SIGMETRICS/Performance 2006: 369-370 - [c15]Pradeep Dubey, Rahul Garg, Bernard De Meyer:
Competing for Customers in a Social Network: The Quasi-linear Case. WINE 2006: 162-173 - [c14]Pradeep Dubey, Rahul Garg:
Games of Connectivity. WINE 2006: 186-197 - [c13]Rahul Garg, Sanjiv Kapoor:
Price Roll-Backs and Path Auctions: An Approximation Scheme for Computing the Market Equilibrium. WINE 2006: 225-238 - 2005
- [j4]Vipul Bansal, Rahul Garg:
Simultaneous Independent Online Auctions with Discrete Bid Increments. Electron. Commer. Res. 5(2): 181-201 (2005) - [c12]Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi:
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC 2005: 280-289 - 2004
- [c11]Rahul Garg, Sanjiv Kapoor, Vijay V. Vazirani:
An Auction-Based Market Equilibrium Algorithm for the Separable Gross Substitutability Case. APPROX-RANDOM 2004: 128-138 - [c10]Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira:
Adaptive incremental checkpointing for massively parallel systems. ICS 2004: 277-286 - [c9]Rahul Garg, Sanjiv Kapoor:
Auction algorithms for market equilibrium. STOC 2004: 511-518 - 2003
- [c8]Rahul Garg, Vijay Kumar, Atri Rudra, Akshat Verma:
Coalitional games on graphs: core structure, substitutes and frugality. EC 2003: 248-249 - 2002
- [j3]Rahul Garg, Abhinav Kamra, Varun Khurana:
A game-theoretic approach towards congestion control in communication networks. Comput. Commun. Rev. 32(3): 47-61 (2002) - [c7]Narasimha R. Adiga, George Almási, George S. Almási, Yariv Aridor, Rajkishore Barik, Daniel K. Beece, Ralph Bellofatto, Gyan Bhanot, Randy Bickford, Matthias A. Blumrich, Arthur A. Bright, José R. Brunheroto, Calin Cascaval, José G. Castaños, Waiman Chan, Luis Ceze, Paul Coteus, Siddhartha Chatterjee, Dong Chen, George L.-T. Chiu, Thomas M. Cipolla, Paul Crumley, K. M. Desai, Alina Deutsch, Tamar Domany, Marc Boris Dombrowa, Wilm E. Donath, Maria Eleftheriou, C. Christopher Erway, J. Esch, Blake G. Fitch, Joseph Gagliano, Alan Gara, Rahul Garg, Robert S. Germain, Mark Giampapa, Balaji Gopalsamy, John A. Gunnels, Manish Gupta, Fred G. Gustavson, Shawn Hall, Ruud A. Haring, David F. Heidel, Philip Heidelberger, Lorraine Herger, Dirk Hoenicke, R. D. Jackson, T. Jamal-Eddine, Gerard V. Kopcsay, Elie Krevat, Manish P. Kurhekar
An overview of the BlueGene/L Supercomputer. SC 2002: 7:1-7:22 - 2001
- [j2]Vipul Bansal, Rahul Garg:
Efficiency and price discovery in multi-item auctions. SIGecom Exch. 2(1): 26-32 (2001) - [c6]Rahul Garg, Vijay Kumar, Vinayaka Pandit:
Approximation Algorithms for Budget-Constrained Auctions. RANDOM-APPROX 2001: 102-113 - [c5]Rahul Garg, Parul A. Mittal, Vikas Agarwal, Natwar Modani:
An Architecture for Secure Generation and Verification of Electronic Coupons. USENIX ATC, General Track 2001: 51-63 - [c4]Amitabha Bagchi, Amitabh Chaudhary, Rahul Garg, Michael T. Goodrich, Vijay Kumar:
Seller-Focused Algorithms for Online Auctioning. WADS 2001: 135-147 - 2000
- [c3]Rahul Garg, Huzur Saran:
Fair Bandwidth Sharing Among Virtual Networks: A Capacity Resizing Approach. INFOCOM 2000: 255-264
1990 – 1999
- 1999
- [j1]Rahul Garg, Xiaoqiang Chen:
RRR: recursive round robin scheduler. Comput. Networks 31(18): 1951-1966 (1999) - [c2]Rahul Garg, Raphael Rom:
4 An ATM Switch Control Interface for Quality of Service and Reliability. Broadband Communications 1999: 405-417 - 1995
- [c1]Robert J. Safranek, Charles R. Kalmanek Jr., Rahul Garg:
Methods for matching compressed video to ATM networks. ICIP 1995: 13-16
Coauthor Index
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