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Pulkit Grover
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2020 – today
- 2024
- [j29]Ariel K. Feldman
, Praveen Venkatesh
Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience. IEEE J. Sel. Areas Inf. Theory 5: 509-519 (2024) - [c105]Amanda Merkley, Pulkit Grover:
Understanding Neural Population Communication with Latent Channels. Allerton 2024: 1-8 - [c104]Jasmine Kwasa, Evangeline Mensah-Agyekum, Arnelle Etienne, Russell Phillips, Christina Patterson, Pulkit Grover:
Pilot Evaluation of Sevo Systems for Epilepsy: Equitable EEG for Coarse, Dense, and Curly Hair. EMBC 2024: 1-7 - [c103]Yuhyun Lee, Vishal Jain, Maysamreza Chamanzar, Pulkit Grover, Mats Forssell:
Ex vivo studies of efficacy of DeepFocus: a technique for minimally-invasive deep-brain stimulation. EMBC 2024: 1-7 - [c102]Keerthana Gurushankar, Pulkit Grover
A Minimal Intervention Definition of Reverse Engineering a Neural Circuit. ISIT (Workshops) 2024: 1-9 - [c101]Amanda Merkley, Pulkit Grover
Message- Relevant Dimension Reduction of Neural Populations. ISIT 2024: 262-267 - [i38]Amanda Merkley, Alice Y. Nam, Y. Kate Hong, Pulkit Grover
Message-Relevant Dimension Reduction of Neural Populations. CoRR abs/2407.02450 (2024) - 2023
- [j28]Jiaming Cao
Diffuse optical tomography spatial prior for EEG source localization in human visual cortex. NeuroImage 277: 120210 (2023) - [j27]Chaitanya Goswami
PATHFINDER: Designing Stimulus for Neuromodulation Through Data-Driven Inverse Estimation of Non-Linear Functions. IEEE Trans. Biomed. Eng. 70(12): 3300-3311 (2023) - [c100]Morteza Zabihi, Alireza Chamanzar, Pulkit Grover
HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. CinC 2023: 1-4 - [c99]Jiaming Cao
Scaling of Algorithmic Bias in Pulse Oximetry with Signal-to-Noise Ratio. EMBC 2023: 1-4 - [c98]Yuxin Guo, Kriti Kacker, Alireza Chamanzar, Pulkit Grover
EEG Source Imaging of Infarct Core and Penumbra for Ischemic Stroke Patients. EMBC 2023: 1-5 - [c97]Vishal Jain
Effect of electric field direction on neuronal activity: an ex-vivo study. EMBC 2023: 1-4 - [c96]Han-Yi Wang, Xujin Liu, Pulkit Grover
A Spatial-Temporal Graph Attention Network for Automated Detection and Width Estimation of Cortical Spreading Depression Using Scalp EEG. EMBC 2023: 1-4 - [c95]Chaitanya Goswami
Automated Electrical Waveform Design for Cell-Type Selective Stimulation. NER 2023: 1-6 - [c94]Vishal Jain
High resolution focused non-invasive electrical stimulation of motor cortex in rodent model. NER 2023: 1-4 - [c93]Xiang Li, Jay W. Reddy, Vishal Jain, Mats Forssell
Time-Varying Mutual Information Analysis of Evoked in Vivo Local Field Potentials in Rodents. NER 2023: 1-4 - [i37]Chaitanya Goswami, Amanda Merkley, Pulkit Grover
Computing Unique Information for Poisson and Multinomial Systems. CoRR abs/2305.07013 (2023) - 2022
- [c92]Keerthana Gurushankar, Praveen Venkatesh
Extracting Unique Information Through Markov Relations. Allerton 2022: 1-6 - [c91]Yann Gilpin, Ching-Yi Lin, Mats Forssell
Tracking the Effects of Tumor Treating Fields on Human Breast Cancer Cells in vitro Using a Capacitance Sensing Lab-on-CMOS Microsystem. ICECS 2022 2022: 1-4 - [c90]Neil Ashim Mehta, Pulkit Grover
Efficient interventions in a neural circuit from observations: an information-theoretic study. ITW 2022: 356-361 - [i36]Sanghamitra Dutta, Praveen Venkatesh, Pulkit Grover:
Quantifying Feature Contributions to Overall Disparity Using Information Theory. CoRR abs/2206.08454 (2022) - [i35]Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
Extracting Unique Information Through Markov Relations. CoRR abs/2210.14789 (2022) - 2021
- [j26]Pulkit Grover
Guest Editorial for Special Issue on Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(3): 813 (2021) - [j25]Sanghamitra Dutta
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. IEEE Trans. Inf. Theory 67(10): 6675-6710 (2021) - [c89]Chenyu Jiang, Bowen Wu, Sanghamitra Dutta, Pulkit Grover
An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles. BIAS 2021: 117-129 - [c88]Chaitanya Goswami
HingePlace: Focused transcranial electrical current stimulation that allows subthreshold fields outside the stimulation target. EMBC 2021: 1577-1583 - [c87]Mats Forssell
Effect of focality of transcranial currents on neural responses. NER 2021: 289-292 - [c86]Alireza Chamanzar, Xujin Liu, Lavender Yao Jiang, Kimon-Aristotelis Vogt, José M. F. Moura, Pulkit Grover
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG. NER 2021: 416-419 - [c85]Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS 2021: 3149-3162 - [i34]Keerthana Gurushankar, Pulkit Grover
A Minimal Intervention Definition of Reverse Engineering a Neural Circuit. CoRR abs/2110.00889 (2021) - [i33]Praveen Venkatesh, Sanghamitra Dutta, Neil Mehta, Pulkit Grover:
Can Information Flows Suggest Targets for Interventions in Neural Circuits? CoRR abs/2111.05299 (2021) - 2020
- [j24]Sanghamitra Dutta
Addressing Unreliability in Emerging Devices and Non-von Neumann Architectures Using Coded Computing. Proc. IEEE 108(8): 1219-1234 (2020) - [j23]Jiaming Cao
STIMULUS: Noninvasive Dynamic Patterns of Neurostimulation Using Spatio-Temporal Interference. IEEE Trans. Biomed. Eng. 67(3): 726-737 (2020) - [j22]Sanghamitra Dutta
On the Optimal Recovery Threshold of Coded Matrix Multiplication. IEEE Trans. Inf. Theory 66(1): 278-301 (2020) - [j21]Praveen Venkatesh
Information Flow in Computational Systems. IEEE Trans. Inf. Theory 66(9): 5456-5491 (2020) - [c84]Sanghamitra Dutta, Praveen Venkatesh
An Information-Theoretic Quantification of Discrimination with Exempt Features. AAAI 2020: 3825-3833 - [c83]Ashwati Krishnan, Kalee Rozylowicz, Shawn K. Kelly, Pulkit Grover
Hydrophilic Conductive Sponge Sensors for Fast Setup, Low Impedance Bio-potential Measurements. EMBC 2020: 3973-3976 - [c82]Arnelle Etienne, Tarana Laroia, Harper Weigle, Amber Afelin, Shawn K. Kelly, Ashwati Krishnan, Pulkit Grover
Novel Electrodes for Reliable EEG Recordings on Coarse and Curly Hair. EMBC 2020: 6151-6154 - [c81]Haewon Jeong
3D Coded SUMMA: Communication-Efficient and Robust Parallel Matrix Multiplication. Euro-Par 2020: 392-407 - [c80]Quang Minh Nguyen, Haewon Jeong
Coded QR Decomposition. ISIT 2020: 191-196 - [c79]Praveen Venkatesh
How else can we define Information Flow in Neural Circuits? ISIT 2020: 2879-2884 - [i32]Sanghamitra Dutta, Praveen Venkatesh, Piotr Mardziel, Anupam Datta, Pulkit Grover
Fairness Under Feature Exemptions: Counterfactual and Observational Measures. CoRR abs/2006.07986 (2020)
2010 – 2019
- 2019
- [j20]Pulkit Grover:
Book Reviews. IEEE Commun. Mag. 57(7): 11 (2019) - [j19]Haewon Jeong
Energy-Adaptive Error Correcting for Dynamic and Heterogeneous Networks. Proc. IEEE 107(4): 765-777 (2019) - [j18]Alireza Chamanzar
An Algorithm for Automated, Noninvasive Detection of Cortical Spreading Depolarizations Based on EEG Simulations. IEEE Trans. Biomed. Eng. 66(4): 1115-1126 (2019) - [j17]Sanghamitra Dutta
"Short-Dot": Computing Large Linear Transforms Distributedly Using Coded Short Dot Products. IEEE Trans. Inf. Theory 65(10): 6171-6193 (2019) - [c78]Ashwati Krishnan, Harper Weigle, Shawn K. Kelly, Pulkit Grover
Feedback-based Electrode Rehydration for High Quality, Long Term, Noninvasive Biopotential Measurements and Current Delivery. BioCAS 2019: 1-4 - [c77]Yuk Wong
Robust Molecular Dynamics Simulations Using Coded FFT Algorithm. ICASSP 2019: 8197-8201 - [c76]Haewon Jeong
Systematic Matrix Multiplication Codes. ISIT 2019: 1-5 - [c75]Praveen Venkatesh
How should we define Information Flow in Neural Circuits? ISIT 2019: 176-180 - [c74]Yaoqing Yang, Matteo Interlandi, Pulkit Grover
Coded Elastic Computing. ISIT 2019: 2654-2658 - [c73]Manu Gopakumar, Jiaming Cao
Cell-type Selective Stimulation of Neurons Based on Single Neuron Models. NER 2019: 411-414 - [c72]Alireza Chamanzar, Pulkit Grover
Silence Localization. NER 2019: 1155-1158 - [i31]Praveen Venkatesh, Sanghamitra Dutta, Pulkit Grover
Information Flow in Computational Systems. CoRR abs/1902.02292 (2019) - [i30]Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors. CoRR abs/1903.01042 (2019) - 2018
- [j16]Yaoqing Yang
Fast Temporal Path Localization on Graphs via Multiscale Viterbi Decoding. IEEE Trans. Signal Process. 66(21): 5588-5603 (2018) - [c71]Farzin Haddadpour, Yaoqing Yang, Viveck R. Cadambe
Cross-Iteration Coded Computing. Allerton 2018: 196-203 - [c70]Haewon Jeong
Locally Recoverable Coded Matrix Multiplication. Allerton 2018: 715-722 - [c69]Haewon Jeong
Masterless Coded Computing: A Fully-Distributed Coded FFT Algorithm. Allerton 2018: 887-894 - [c68]Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. IEEE BigData 2018: 1113-1120 - [c67]Zabir Ahmed, Jay W. Reddy, Kaustubh Deshpande, Ashwati Krishnan, Praveen Venkatesh
Flexible Ultra-resolution Subdermal EEG Probes. BioCAS 2018: 1-4 - [c66]Jiaming Cao
Do single neuron models exhibit temporal interference stimulation? BioCAS 2018: 1-4 - [c65]Ashwati Krishnan, Ritesh Kumar
Low-Cost Carbon Fiber-Based Conductive Silicone Sponge EEG Electrodes. EMBC 2018: 1287-1290 - [c64]Ashwati Krishnan, Ritesh Kumar
Challenges and Opportunities in Instrumentation and Use of High-Density EEG for Underserved Regions. InterSol 2018: 72-82 - [c63]Yaoqing Yang, Pulkit Grover
Coding for a Single Sparse Inverse Problem. ISIT 2018: 1575-1579 - [c62]Sanghamitra Dutta, Ziqian Bai, Haewon Jeong
A Unified Coded Deep Neural Network Training Strategy based on Generalized PolyDot codes. ISIT 2018: 1585-1589 - [i29]Sanghamitra Dutta, Mohammad Fahim, Farzin Haddadpour, Haewon Jeong, Viveck R. Cadambe, Pulkit Grover
On the Optimal Recovery Threshold of Coded Matrix Multiplication. CoRR abs/1801.10292 (2018) - [i28]Yaoqing Yang, Malhar Chaudhari, Pulkit Grover
Coded Iterative Computing using Substitute Decoding. CoRR abs/1805.06046 (2018) - [i27]Haewon Jeong, Tze Meng Low, Pulkit Grover
Coded FFT and Its Communication Overhead. CoRR abs/1805.09891 (2018) - [i26]Farzin Haddadpour, Yaoqing Yang, Malhar Chaudhari, Viveck R. Cadambe, Pulkit Grover
Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver. CoRR abs/1806.06140 (2018) - [i25]Sanghamitra Dutta, Ziqian Bai, Haewon Jeong, Tze Meng Low, Pulkit Grover
A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication. CoRR abs/1811.10751 (2018) - [i24]Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation. CoRR abs/1811.11811 (2018) - [i23]Yaoqing Yang, Matteo Interlandi, Pulkit Grover
Coded Elastic Computing. CoRR abs/1812.06411 (2018) - 2017
- [j15]Pulkit Grover
An Information-Theoretic View of EEG Sensing. Proc. IEEE 105(2): 367-384 (2017) - [j14]Yaoqing Yang, Pulkit Grover
Computing Linear Transformations With Unreliable Components. IEEE Trans. Inf. Theory 63(6): 3729-3756 (2017) - [j13]Yaoqing Yang, Pulkit Grover
Rate Distortion for Lossy In-Network Linear Function Computation and Consensus: Distortion Accumulation and Sequential Reverse Water-Filling. IEEE Trans. Inf. Theory 63(8): 5179-5206 (2017) - [j12]Yaoqing Yang, Soummya Kar
Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network. IEEE Trans. Inf. Theory 63(9): 6059-6084 (2017) - [c61]Mohammad Fahim, Haewon Jeong
On the optimal recovery threshold of coded matrix multiplication. Allerton 2017: 1264-1270 - [c60]Yaoqing Yang, Siheng Chen, Mohammad Ali Maddah-Ali, Pulkit Grover
Fast path localization on graphs via multiscale Viterbi decoding. ICASSP 2017: 4114-4118 - [c59]Omur Ozel, Sennur Ulukus, Pulkit Grover
Wireless information and energy transfer under temperature constraints. ICC Workshops 2017: 349-354 - [c58]Omur Ozel
Communicating under temperature and energy harvesting constraints. ISIT 2017: 421-425 - [c57]Sanghamitra Dutta, Viveck R. Cadambe
Coded convolution for parallel and distributed computing within a deadline. ISIT 2017: 2403-2407 - [c56]Haewon Jeong
Energy-adaptive polar codes: Trading off reliability and decoder circuit energy. ISIT 2017: 2608-2612 - [c55]Praveen Venkatesh
Lower bounds on the minimax risk for the source localization problem. ISIT 2017: 3080-3084 - [c54]Yaoqing Yang, Pulkit Grover, Soummya Kar:
Coded Distributed Computing for Inverse Problems. NIPS 2017: 709-719 - [i22]Sanghamitra Dutta, Viveck R. Cadambe, Pulkit Grover
"Short-Dot": Computing Large Linear Transforms Distributedly Using Coded Short Dot Products. CoRR abs/1704.05181 (2017) - [i21]Sanghamitra Dutta, Viveck R. Cadambe, Pulkit Grover
Coded convolution for parallel and distributed computing within a deadline. CoRR abs/1705.03875 (2017) - [i20]Yaoqing Yang, Pulkit Grover
Coding Method for Parallel Iterative Linear Solver. CoRR abs/1706.00163 (2017) - 2016
- [j11]Karthik Ganesan
On the Total Power Capacity of Regular-LDPC Codes With Iterative Message-Passing Decoders. IEEE J. Sel. Areas Commun. 34(2): 375-396 (2016) - [j10]Majid Mahzoon, Christy Li, Xin Li, Pulkit Grover
Energy-Constrained Distributed Learning and Classification by Exploiting Relative Relevance of Sensors' Data. IEEE J. Sel. Areas Commun. 34(5): 1417-1430 (2016) - [j9]Omur Ozel
Energy Harvesting Transmitters That Heat Up: Throughput Maximization Under Temperature Constraints. IEEE Trans. Wirel. Commun. 15(8): 5440-5452 (2016) - [c53]Yaoqing Yang, Pulkit Grover
Fault-tolerant distributed logistic regression using unreliable components. Allerton 2016: 940-947 - [c52]Christy Li, Xin Li, Pulkit Grover
Energy efficient learning and classification for distributed sensing. COMSNETS 2016: 1-6 - [c51]Yaoqing Yang, Pulkit Grover
Coding for lossy function computation: Analyzing sequential function computation with distortion accumulation. ISIT 2016: 140-144 - [c50]Sanghamitra Dutta, Pulkit Grover
Adaptivity provably helps: Information-theoretic limits on l0 cost of non-adaptive sensing. ISIT 2016: 1431-1435 - [c49]Pulkit Grover
Fundamental limits on source-localization accuracy of EEG-based neural sensing. ISIT 2016: 1794-1798 - [c48]Yaoqing Yang, Pulkit Grover
Computing linear transforms with unreliable components. ISIT 2016: 1934-1938 - [c47]Yaoqing Yang, Soummya Kar
Energy efficient distributed coding for data collection in a noisy sparse network. ISIT 2016: 2734-2738 - [c46]Yaoqing Yang, Pulkit Grover
Fault-tolerant parallel linear filtering using compressive sensing. ISTC 2016: 201-205 - [c45]Matthew Boring, Shawn K. Kelly, Jeffrey A. Weldon, Michael J. Tarr, Amanda Robinson
Containing errors in computations for neural sensing: Does a hierarchical-referencing strategy lead to energy savings? ITA 2016: 1-5 - [c44]Sanghamitra Dutta, Viveck R. Cadambe, Pulkit Grover:
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products. NIPS 2016: 2092-2100 - [c43]Tongxin Li, Mayank Bakshi
Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication. SPAWC 2016: 1-6 - [i19]Yaoqing Yang, Soummya Kar
Energy Efficient Distributed Coding for Data Collection in a Noisy Sparse Network. CoRR abs/1601.06095 (2016) - [i18]Yaoqing Yang, Pulkit Grover
Rate Distortion for Lossy In-network Function Computation: Information Dissipation and Sequential Reverse Water-Filling. CoRR abs/1601.06224 (2016) - [i17]Sanghamitra Dutta, Pulkit Grover:
Adaptivity provably helps: information-theoretic limits on $l_0$ cost of non-adaptive sensing. CoRR abs/1602.04260 (2016) - 2015
- [j8]Sennur Ulukus, Elza Erkip
Guest Editorial: Wireless Communications Powered by Energy Harvesting and Wireless Energy Transfer (Part I). IEEE J. Sel. Areas Commun. 33(3): 357-359 (2015) - [j7]Sennur Ulukus, Aylin Yener, Elza Erkip
Energy Harvesting Wireless Communications: A Review of Recent Advances. IEEE J. Sel. Areas Commun. 33(3): 360-381 (2015) - [j6]Sennur Ulukus, Elza Erkip
Guest Editorial: Wireless Communications Powered by Energy Harvesting and Wireless Energy Transfer, Part II. IEEE J. Sel. Areas Commun. 33(8): 1477-1479 (2015) - [j5]Pulkit Grover
Information Friction and Its Implications on Minimum Energy Required for Communication. IEEE Trans. Inf. Theory 61(2): 895-907 (2015) - [j4]Pulkit Grover
Information Embedding and the Triple Role of Control. IEEE Trans. Inf. Theory 61(4): 1539-1549 (2015) - [c42]Ana Beisy Cruz, Pulkit Grover
Coding for improved focusing of ultrasound, and an application to neurostimulation. ACSSC 2015: 940-942 - [c41]Pulkit Grover
Ultra-high-density EEG: How many bits of resolution do the electrodes need? ACSSC 2015: 943-947 - [c40]Haewon Jeong
Energy-adaptive codes. Allerton 2015: 132-139 - [c39]Yaoqing Yang, Pulkit Grover
Information dissipation in noiseless lossy in-network function computation. Allerton 2015: 445-452 - [c38]Praveen Venkatesh
Is the direction of greater Granger causal influence the same as the direction of information flow? Allerton 2015: 672-679 - [c37]Pulkit Grover
An information theoretic technique for harnessing attenuation of high spatial frequencies to design ultra-high-density EEG. Allerton 2015: 901-908 - [c36]Omur Ozel, Sennur Ulukus, Pulkit Grover
Optimal scheduling for energy harvesting transmitters under temperature constraints. ISIT 2015: 1129-1133 - [r1]Pulkit Grover
Information Structures, the Witsenhausen Counterexample, and Communicating Using Actions. Encyclopedia of Systems and Control 2015 - [i16]Sennur Ulukus, Aylin Yener, Elza Erkip, Osvaldo Simeone, Michele Zorzi, Pulkit Grover
Energy Harvesting Wireless Communications: A Review of Recent Advances. CoRR abs/1501.06026 (2015) - [i15]Karthik Ganesan, Pulkit Grover
Towards Approaching Total-Power-Capacity: Transmit and Decoding Power Minimization for LDPC Codes. CoRR abs/1504.01019 (2015) - [i14]Yaoqing Yang, Pulkit Grover
Computing Linear Transformations with Unreliable Components. CoRR abs/1506.07234 (2015) - [i13]Yaoqing Yang, Soummya Kar
Graph Codes for Distributed Instant Message Collection in an Arbitrary Noisy Broadcast Network. CoRR abs/1508.01553 (2015) - [i12]Omur Ozel, Sennur Ulukus, Pulkit Grover
Energy Harvesting Transmitters that Heat Up: Throughput Maximization under Temperature Constraints. CoRR abs/1509.00836 (2015) - 2014
- [c35]Pooja Vyavahare
Information friction limits on computation. Allerton 2014: 93-100 - [c34]Majid Mahzoon, Hassan Albalawi, Xin Li, Pulkit Grover
Using relative-relevance of data pieces for efficient communication, with an application to Neural data acquisition. Allerton 2014: 160-166 - [c33]Yaoqing Yang, Pulkit Grover
Can a noisy encoder be used to communicate reliably? Allerton 2014: 659-666 - [c32]Xin Li, Ronald Shawn Blanton, Pulkit Grover
Ultra-low-power biomedical circuit design and optimization: Catching the don't cares. ISIC 2014: 115-118 - [c31]Pulkit Grover
Is "Shannon-capacity of noisy computing" zero? ISIT 2014: 2854-2858 - [i11]Pulkit Grover
"Information-Friction" and its implications on minimum energy required for communication. CoRR abs/1401.1059 (2014) - 2013
- [j3]Pulkit Grover
Approximately Optimal Solutions to the Finite-Dimensional Witsenhausen Counterexample. IEEE Trans. Autom. Control. 58(9): 2189-2204 (2013) - [c30]Max Regan, Pulkit Grover
Intrusion detection for wireless power networks, near-field communication, and side-channel attacks. ACSSC 2013: 619-621 - [c29]Pulkit Grover
"Information-friction" and its impact on minimum energy per communicated bit. ISIT 2013: 2513-2517 - [c28]Pulkit Grover
What do we need to do to "green" data-center networks? A fundamental perspective. OnlineGreenComm 2013: 82-87 - [i10]Pulkit Grover
Information embedding and the triple role of control. CoRR abs/1306.5018 (2013) - 2012
- [c27]Karthik Ganesan
How far are LDPC codes from fundamental limits on total power consumption? Allerton Conference 2012: 671-678 - [c26]Abhishek Gupta
On myopic strategies in dynamic adversarial team decision problems. CISS 2012: 1-6 - [c25]Karthik Ganesan
Choosing "green" codes by simulation-based modeling of implementations. GLOBECOM 2012: 3286-3292 - [c24]Pulkit Grover
Fundamental limits on the power consumption of encoding and decoding. ISIT 2012: 2716-2720 - [c23]Lav R. Varshney, Pulkit Grover
Securing inductively-coupled communication. ITA 2012: 47-53 - [c22]Pulkit Grover
Fundamental limits on power consumption for lossless signal reconstruction. ITW 2012: 527-531 - 2011
- [j2]Pulkit Grover
Towards a Communication-Theoretic Understanding of System-Level Power Consumption. IEEE J. Sel. Areas Commun. 29(8): 1744-1755 (2011) - [c21]Pulkit Grover
Information theory meets circuit design: Why capacity-approaching codes require more chip area and power. Allerton 2011: 1392-1399 - [c20]Pulkit Grover
The role of common "context" in signaling. CDC/ECC 2011: 5535-5540 - [c19]Pulkit Grover
Fundamental bounds on the interconnect complexity of decoder implementations. CISS 2011: 1-6 - [c18]Pulkit Grover, Anant Sahai, Ji-Hoon Park:
Simple models for power optimization across transmission, equalization and decoding. EUSIPCO 2011: 884-888 - [c17]Kristen Ann Woyach, Pulkit Grover
Near vs. Far Field: Interference Aggregation in TV Whitespaces. GLOBECOM 2011: 1-5 - [c16]Pulkit Grover
The "source-simplification" aspect of signaling. ISIT 2011: 2432-2436 - [c15]Pulkit Grover
"Green codes with short wires at the decoder: Fundamental limits and constructions". ITA 2011: 112-115 - [c14]Karthik Ganesan
The power cost of over-designing codes. SiPS 2011: 128-133 - 2010
- [b1]Pulkit Grover:
Actions can speak more clearly than words. University of California, Berkeley, USA, 2010 - [c13]Pulkit Grover
Implicit and explicit communication in decentralized control. Allerton 2010: 278-285 - [c12]Pulkit Grover
Is Witsenhausen's counterexample a relevant toy? CDC 2010: 585-590 - [c11]Pulkit Grover
Distributed signal cancelation inspired by Witsenhausen's counterexample. ISIT 2010: 151-155 - [c10]Pulkit Grover
Shannon meets Tesla: Wireless information and power transfer. ISIT 2010: 2363-2367 - [c9]Pulkit Grover
Information-theoretic tradeoffs of throughput and chip power consumption for decoding error-correcting codes. ISIT 2010: 2373-2377 - [i9]Pulkit Grover
The finite-dimensional Witsenhausen counterexample. CoRR abs/1003.0514 (2010) - [i8]Pulkit Grover
Information embedding meets distributed control. CoRR abs/1003.0520 (2010) - [i7]Pulkit Grover, Anant Sahai:
Is Witsenhausen's counterexample a relevant toy? CoRR abs/1009.2528 (2010) - [i6]Pulkit Grover, Anant Sahai:
Implicit and explicit communication in decentralized control. CoRR abs/1010.4854 (2010) - [i5]Pulkit Grover
Towards a communication-theoretic understanding of system-level power consumption. CoRR abs/1010.4855 (2010)
2000 – 2009
- 2009
- [c8]Se Yong Park, Pulkit Grover
A constant-factor approximately optimal solution to the Witsenhausen counterexample. CDC 2009: 2881-2886 - [c7]Pulkit Grover
Time-division multiplexing for green broadcasting. ISIT 2009: 2517-2521 - [c6]Pulkit Grover
The finite-dimensional Witsenhausen counterexample. WiOpt 2009: 1-10 - 2008
- [c5]Pulkit Grover
A vector version of witsenhausen's counterexample: A convergence of control, communication and computation. CDC 2008: 1636-1641 - [c4]Pulkit Grover
Green codes: Energy-efficient short-range communication. ISIT 2008: 1178-1182 - [i4]Anant Sahai, Pulkit Grover:
The price of certainty: "waterslide curves" and the gap to capacity. CoRR abs/0801.0352 (2008) - [i3]Pulkit Grover, Anant Sahai:
Green Codes: Energy-Efficient Short-Range Communication. CoRR abs/0805.2423 (2008) - 2007
- [j1]Pulkit Grover
Upper Bounds on the Rate of LDPC Codes for a Class of Finite-State Markov Channels. IEEE Trans. Inf. Theory 53(2): 794-804 (2007) - [c3]Pulkit Grover
Writing on Rayleigh faded dirt: a computable upper bound to the outage capacity. ISIT 2007: 2166-2170 - [i2]Pulkit Grover, Anant Sahai:
What is needed to exploit knowledge of primary transmissions? CoRR abs/cs/0702071 (2007) - [i1]Pulkit Grover:
Tradeoff between decoding complexity and rate for codes on graphs. CoRR abs/cs/0702073 (2007) - 2004
- [c2]Pulkit Grover
Geolocation using transmit and receive diversity. GLOBECOM 2004: 3681-3684 - [c1]Pulkit Grover
Upper bounds on the rate of LDPC codes for Gilbert-Elliott channels. ITW 2004: 230-235
Coauthor Index
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For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2025-01-10 18:35 CET by the dblp team
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