Sreeram Kannan

147 papers A* 16A 4B 15C 3Misc 2Journal 86Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
EigenAI: Deterministic Inference, Verifiable Results.
CoRR
David Ribeiro Alves, Vishnu Patankar, Matheus Pereira, Jamie Stephens, Nima Vaziri, Sreeram Kannan
2025 C conf
Unconditionally Safe Light Client.
ICBC
Niusha Moshrefi, Peiyao Sheng, Soubhik Deb, Sreeram Kannan, Pramod Viswanath
2024 J jnl
STAKESURE: Proof of Stake Mechanisms with Strong Cryptoeconomic Safety.
CoRR
Soubhik Deb, Robert Raynor, Sreeram Kannan
2024 J jnl
Travelers: A scalable fair ordering BFT system.
CoRR
Bowen Xue, Sreeram Kannan
2024 J jnl
Unconditionally Safe Light Client.
CoRR
Niusha Moshrefi, Peiyao Sheng, Soubhik Deb, Sreeram Kannan, Pramod Viswanath
2023 J jnl
BigDipper: A hyperscale BFT system with short term censorship resistance.
CoRR
Bowen Xue, Soubhik Deb, Sreeram Kannan
2023 A* conf
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities.
SP
Ertem Nusret Tas, David Tse, Fangyu Gai, Sreeram Kannan, Mohammad Ali Maddah-Ali, Fisher Yu
2023 C conf
Goldfish: Peer Selection using Matrix Completion in Unstructured P2P Network.
ICBC
Bowen Xue, Yifan Mao, Shaileshh Bojja Venkatakrishnan, Sreeram Kannan
2023 J jnl
Goldfish: Peer selection using Matrix completion in unstructured P2P network.
CoRR
Bowen Xue, Yifan Mao, Shaileshh Bojja Venkatakrishnan, Sreeram Kannan
2023 J jnl
HQAlign: Aligning nanopore reads for SV detection using current-level modeling.
CoRR
Dhaivat Joshi, Suhas N. Diggavi, Mark J. P. Chaisson, Sreeram Kannan
2023 J jnl
HQAlign: aligning nanopore reads for SV detection using current-level modeling.
Bioinform.
Dhaivat Joshi, Suhas N. Diggavi, Mark J. P. Chaisson, Sreeram Kannan
2023 — conf
Player-Replaceability and Forensic Support Are Two Sides of the Same (Crypto) Coin.
FC (1)
Peiyao Sheng, Gerui Wang, Kartik Nayak, Sreeram Kannan, Pramod Viswanath
2023 J jnl
SAKSHI: Decentralized AI Platforms.
CoRR
Suma Bhat, Canhui Chen, Zerui Cheng, Zhixuan Fang, S. Ashwin Hebbar, Sreeram Kannan, Ranvir Rana, Peiyao Sheng, Himanshu Tyagi, Pramod Viswanath, Xuechao Wang
2023 A* conf
Themis: Fast, Strong Order-Fairness in Byzantine Consensus.
CCS
Mahimna Kelkar, Soubhik Deb, Sishan Long, Ari Juels, Sreeram Kannan
2023 A* conf
TrustBoost: Boosting Trust among Interoperable Blockchains.
CCS
Peiyao Sheng, Xuechao Wang, Sreeram Kannan, Kartik Nayak, Pramod Viswanath
2022 J jnl
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security.
CoRR
Ertem Nusret Tas, David Tse, Fisher Yu, Sreeram Kannan
2022 J jnl
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security.
IACR Cryptol. ePrint Arch.
Ertem Nusret Tas, David Tse, Fisher Yu, Sreeram Kannan
2022 J jnl
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities.
CoRR
Ertem Nusret Tas, David Tse, Fisher Yu, Sreeram Kannan, Mohammad Ali Maddah-Ali
2022 J jnl
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities.
IACR Cryptol. ePrint Arch.
Ertem Nusret Tas, David Tse, Fangyu Gai, Sreeram Kannan, Mohammad Ali Maddah-Ali, Fisher Yu
2022 J jnl
CellMeSH: probabilistic cell-type identification using indexed literature.
Bioinform.
Shunfu Mao, Yue Zhang, Georg Seelig, Sreeram Kannan
2022 Misc conf
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks.
NSDI
Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse
2022 — conf
Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains.
SIGMETRICS (Abstracts)
Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath
2022 J jnl
Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains.
Proc. ACM Meas. Anal. Comput. Syst.
Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath
2022 B conf
Fundamental Limits of Multi-Sample Flow Graph Decomposition.
ISIT
Kayvon Mazooji, Sreeram Kannan, William Stafford Noble, Ilan Shomorony
2022 J jnl
Interpreting neural networks for biological sequences by learning stochastic masks.
Nat. Mach. Intell.
Johannes Linder, Alyssa La Fleur, Zibo Chen, Ajasja Ljubetic, David Baker, Sreeram Kannan, Georg Seelig
2022 A* conf
Minotaur: Multi-Resource Blockchain Consensus.
CCS
Matthias Fitzi, Xuechao Wang, Sreeram Kannan, Aggelos Kiayias, Nikos Leonardos, Pramod Viswanath, Gerui Wang
2022 J jnl
Minotaur: Multi-Resource Blockchain Consensus.
CoRR
Matthias Fitzi, Xuechao Wang, Sreeram Kannan, Aggelos Kiayias, Nikos Leonardos, Pramod Viswanath, Gerui Wang
2022 J jnl
Minotaur: Multi-Resource Blockchain Consensus.
IACR Cryptol. ePrint Arch.
Matthias Fitzi, Xuechao Wang, Sreeram Kannan, Aggelos Kiayias, Nikos Leonardos, Pramod Viswanath, Gerui Wang
2022 J jnl
Optimal Bootstrapping of PoW Blockchains.
CoRR
Ranvir Rana, Dimitris Karakostas, Sreeram Kannan, Aggelos Kiayias, Pramod Viswanath
2022 B conf
Optimal bootstrapping of PoW blockchains.
MobiHoc
Ranvir Rana, Dimitris Karakostas, Sreeram Kannan, Aggelos Kiayias, Pramod Viswanath
2022 — conf
Order-Fair Consensus in the Permissionless Setting.
APKC@AsiaCCS
Mahimna Kelkar, Soubhik Deb, Sreeram Kannan
2022 J jnl
Player-Replaceability and Forensic Support are Two Sides of the Same (Crypto) Coin.
IACR Cryptol. ePrint Arch.
Peiyao Sheng, Gerui Wang, Kartik Nayak, Sreeram Kannan, Pramod Viswanath
2022 — conf
Proof-of-Stake Longest Chain Protocols: Security vs Predictability.
ConsensusDay@CCS
Vivek Kumar Bagaria, Amir Dembo, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni
2022 J jnl
TrustBoost: Boosting Trust among Interoperable Blockchains.
CoRR
Xuechao Wang, Peiyao Sheng, Sreeram Kannan, Kartik Nayak, Pramod Viswanath
2022 J jnl
TrustBoost: Boosting Trust among Interoperable Blockchains.
IACR Cryptol. ePrint Arch.
Xuechao Wang, Peiyao Sheng, Sreeram Kannan, Kartik Nayak, Pramod Viswanath
2021 — conf
ACeD: Scalable Data Availability Oracle.
Financial Cryptography (2)
Peiyao Sheng, Bowen Xue, Sreeram Kannan, Pramod Viswanath
2021 A* conf
BFT Protocol Forensics.
CCS
Peiyao Sheng, Gerui Wang, Kartik Nayak, Sreeram Kannan, Pramod Viswanath
2021 — conf
Blockchain CAP Theorem Allows User-Dependent Adaptivity and Finality.
Financial Cryptography (2)
Suryanarayana Sankagiri, Xuechao Wang, Sreeram Kannan, Pramod Viswanath
2021 J jnl
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks.
CoRR
Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse
2021 J jnl
Order-Fair Consensus in the Permissionless Setting.
IACR Cryptol. ePrint Arch.
Mahimna Kelkar, Soubhik Deb, Sreeram Kannan
2021 — conf
PoSAT: Proof-of-Work Availability and Unpredictability, Without the Work.
Financial Cryptography (2)
Soubhik Deb, Sreeram Kannan, David Tse
2021 J jnl
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
IEEE Trans. Inf. Forensics Secur.
Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2021 J jnl
QAlign: aligning nanopore reads accurately using current-level modeling.
Bioinform.
Dhaivat Joshi, Shunfu Mao, Sreeram Kannan, Suhas N. Diggavi
2021 A* conf
Securing Parallel-chain Protocols under Variable Mining Power.
CCS
Xuechao Wang, Viswa Virinchi Muppirala, Lei Yang, Sreeram Kannan, Pramod Viswanath
2021 J jnl
Securing Parallel-chain Protocols under Variable Mining Power.
CoRR
Xuechao Wang, Viswa Virinchi Muppirala, Lei Yang, Sreeram Kannan, Pramod Viswanath
2021 J jnl
Securing Parallel-chain Protocols under Variable Mining Power.
IACR Cryptol. ePrint Arch.
Xuechao Wang, Viswa Virinchi Muppirala, Lei Yang, Sreeram Kannan, Pramod Viswanath
2021 J jnl
Themis: Fast, Strong Order-Fairness in Byzantine Consensus.
IACR Cryptol. ePrint Arch.
Mahimna Kelkar, Soubhik Deb, Sishan Long, Ari Juels, Sreeram Kannan
2020 J jnl
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis.
BMC Bioinform.
Eugene Lin, Sudipto Mukherjee, Sreeram Kannan
2020 J jnl
ACeD: Scalable Data Availability Oracle.
CoRR
Peiyao Sheng, Bowen Xue, Sreeram Kannan, Pramod Viswanath
2020 J jnl
BFT Protocol Forensics.
CoRR
Peiyao Sheng, Gerui Wang, Kartik Nayak, Sreeram Kannan, Pramod Viswanath
2020 — conf
BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance.
AlCoB
Shunfu Mao, Yihan Jiang, Edwin Basil Mathew, Sreeram Kannan
2020 A conf
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
UAI
Arnab Kumar Mondal, Arnab Bhattacharjee, Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan, Prathosh A. P.
2020 J jnl
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
CoRR
Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP
2020 — conf
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.
Financial Cryptography
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020 J jnl
Deepcode and Modulo-SK are Designed for Different Settings.
CoRR
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 J jnl
Deepcode: Feedback Codes via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 A* conf
Everything is a Race and Nakamoto Always Wins.
CCS
Amir Dembo, Sreeram Kannan, Ertem Nusret Tas, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni
2020 J jnl
Everything is a Race and Nakamoto Always Wins.
CoRR
Amir Dembo, Sreeram Kannan, Ertem Nusret Tas, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni
2020 J jnl
Everything is a Race and Nakamoto Always Wins.
IACR Cryptol. ePrint Arch.
Amir Dembo, Sreeram Kannan, Ertem Nusret Tas, David Tse, Pramod Viswanath, Xuechao Wang, Ofer Zeitouni
2020 Misc conf
Feedback Turbo Autoencoder.
ICASSP
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2020 J jnl
Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation.
CoRR
Ranvir Rana, Sreeram Kannan, David Tse, Pramod Viswanath
2020 — conf
Joint Channel Coding and Modulation via Deep Learning.
SPAWC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 J jnl
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
IEEE J. Sel. Areas Inf. Theory
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2020 A conf
Learning in Gated Neural Networks.
AISTATS
Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2020 A* conf
Perigee: Efficient Peer-to-Peer Network Design for Blockchains.
PODC
Yifan Mao, Soubhik Deb, Shaileshh Bojja Venkatakrishnan, Sreeram Kannan, Kannan Srinivasan
2020 J jnl
Perigee: Efficient Peer-to-Peer Network Design for Blockchains.
CoRR
Yifan Mao, Soubhik Deb, Shaileshh Bojja Venkatakrishnan, Sreeram Kannan, Kannan Srinivasan
2020 J jnl
PoSAT: Proof-of-Work Availability andUnpredictability, without the Work.
CoRR
Soubhik Deb, Sreeram Kannan, David Tse
2020 B conf
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
ISIT
Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2020 J jnl
The Checkpointed Longest Chain: User-dependent Adaptivity and Finality.
CoRR
Suryanarayana Sankagiri, Xuechao Wang, Sreeram Kannan, Pramod Viswanath
2019 J jnl
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples.
CoRR
Hossein Hosseini, Sreeram Kannan, Radha Poovendran
2019 A* conf
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms.
ICML
Ashok Vardhan Makkuva, Pramod Viswanath, Sreeram Kannan, Sewoong Oh
2019 A conf
CCMI : Classifier based Conditional Mutual Information Estimation.
UAI
Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan
2019 J jnl
CCMI : Classifier based Conditional Mutual Information Estimation.
CoRR
Sudipto Mukherjee, Himanshu Asnani, Sreeram Kannan
2019 A* conf
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks.
AAAI
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan
2019 J jnl
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.
CoRR
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019 J jnl
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.
IACR Cryptol. ePrint Arch.
Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019 A* conf
Coded State Machine - Scaling State Machine Execution under Byzantine Faults.
PODC
Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019 J jnl
Coded State Machine - Scaling State Machine Execution under Byzantine Faults.
CoRR
Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2019 — conf
DEEPTURBO: Deep Turbo Decoder.
SPAWC
Yihan Jiang, Sreeram Kannan, Hyeji Kim, Sewoong Oh, Himanshu Asnani, Pramod Viswanath
2019 J jnl
DeepTurbo: Deep Turbo Decoder.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 — conf
Dropping Pixels for Adversarial Robustness.
CVPR Workshops
Hossein Hosseini, Sreeram Kannan, Radha Poovendran
2019 J jnl
Dropping Pixels for Adversarial Robustness.
CoRR
Hossein Hosseini, Sreeram Kannan, Radha Poovendran
2019 J jnl
Improving Federated Learning Personalization via Model Agnostic Meta Learning.
CoRR
Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan
2019 — conf
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
ICC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 J jnl
Learning in Gated Neural Networks.
CoRR
Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath
2019 — conf
MIND: Model Independent Neural Decoder.
SPAWC
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan
2019 A* conf
Prism: Deconstructing the Blockchain to Approach Physical Limits.
CCS
Vivek Kumar Bagaria, Sreeram Kannan, David Tse, Giulia Fanti, Pramod Viswanath
2019 J jnl
Proof-of-Stake Longest Chain Protocols Revisited.
CoRR
Xuechao Wang, Govinda M. Kamath, Vivek Kumar Bagaria, Sreeram Kannan, Sewoong Oh, David Tse, Pramod Viswanath
2019 A* conf
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
NeurIPS
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2019 J jnl
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks.
CoRR
Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan
2018 — conf
Communication Algorithms via Deep Learning.
ICLR (Poster)
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Communication Algorithms via Deep Learning.
CoRR
Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Deconstructing the Blockchain to Approach Physical Limits.
CoRR
Vivek Kumar Bagaria, Sreeram Kannan, David Tse, Giulia Fanti, Pramod Viswanath
2018 J jnl
Deconstructing the Blockchain to Approach Physical Limits.
IACR Cryptol. ePrint Arch.
Vivek Kumar Bagaria, Sreeram Kannan, David Tse, Giulia Fanti, Pramod Viswanath
2018 A* conf
Deepcode: Feedback Codes via Deep Learning.
NeurIPS
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Deepcode: Feedback Codes via Deep Learning.
CoRR
Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 A* conf
Estimators for Multivariate Information Measures in General Probability Spaces.
NeurIPS
Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan
2018 J jnl
Estimators for Multivariate Information Measures in General Probability Spaces.
CoRR
Arman Rahimzamani, Himanshu Asnani, Pramod Viswanath, Sreeram Kannan
2018 J jnl
Globally Consistent Algorithms for Mixture of Experts.
CoRR
Ashok Vardhan Makkuva, Sreeram Kannan, Pramod Viswanath
2018 J jnl
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks.
CoRR
Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2018 J jnl
Mimic and Classify : A meta-algorithm for Conditional Independence Testing.
CoRR
Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan
2018 J jnl
Models and Information-Theoretic Bounds for Nanopore Sequencing.
IEEE Trans. Inf. Theory
Wei Mao, Suhas N. Diggavi, Sreeram Kannan
2018 J jnl
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
CoRR
Songze Li, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2018 J jnl
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
IACR Cryptol. ePrint Arch.
Songze Li, Mingchao Yu, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
2018 J jnl
Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
Bioinform.
Sumit Mukherjee, Yue Zhang, Joshua Fan, Georg Seelig, Sreeram Kannan
2017 J jnl
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems.
CoRR
Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2017 J jnl
Deceiving Google's Perspective API Built for Detecting Toxic Comments.
CoRR
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2017 — conf
Discovering Potential Correlations via Hypercontractivity.
NIPS
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
Discovering Potential Correlations via Hypercontractivity.
Entropy
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 — conf
Estimating Mutual Information for Discrete-Continuous Mixtures.
NIPS
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
Estimating Mutual Information for Discrete-Continuous Mixtures.
CoRR
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 B conf
Models and information-theoretic bounds for nanopore sequencing.
ISIT
Wei Mao, Suhas N. Diggavi, Sreeram Kannan
2017 J jnl
Models and information-theoretic bounds for nanopore sequencing.
CoRR
Wei Mao, Suhas N. Diggavi, Sreeram Kannan
2017 J jnl
Potential Conditional Mutual Information: Estimators, Properties and Applications.
CoRR
Arman Rahimzamani, Sreeram Kannan
2017 — conf
Potential conditional mutual information: Estimators and properties.
Allerton
Arman Rahimzamani, Sreeram Kannan
2017 J jnl
Potential conditional mutual information: Estimators and properties.
PeerJ Prepr.
Arman Rahimzamani, Sreeram Kannan
2017 B conf
Resolving Multicopy Duplications de novo Using Polyploid Phasing.
RECOMB
Mark J. P. Chaisson, Sudipto Mukherjee, Sreeram Kannan, Evan E. Eichler
2017 C conf
abSNP: RNA-Seq SNP Calling in Repetitive Regions via Abundance Estimation.
WABI
Shunfu Mao, Soheil Mohajer, Kannan Ramchandran, David Tse, Sreeram Kannan
2016 J jnl
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications.
CoRR
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016 A* conf
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications.
ICML
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016 B conf
Learning Temporal Dependence from Time-Series Data with Latent Variables.
DSAA
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2016 J jnl
Learning Temporal Dependence from Time-Series Data with Latent Variables.
CoRR
Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran
2016 — conf
Network inference using directed information: The deterministic limit.
Allerton
Arman Rahimzamani, Sreeram Kannan
2015 B conf
Delay-constrained unicast and the triangle-cast problem.
ISIT
Chandra Chekuri, Sudeep Kamath, Sreeram Kannan, Pramod Viswanath
2015 J jnl
Minimum HGR Correlation Principle: From Marginals to Joint Distribution.
CoRR
Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan, David Tse
2015 B conf
Minimum HGR correlation principle: From marginals to joint distribution.
ISIT
Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan, David Tse
2015 J jnl
Multicommodity Flows and Cuts in Polymatroidal Networks.
SIAM J. Comput.
Chandra Chekuri, Sreeram Kannan, Adnan Raja, Pramod Viswanath
2015 — conf
On Shannon capacity and causal estimation.
Allerton
Rahul Kidambi, Sreeram Kannan
2014 J jnl
Capacity of Multiple Unicast in Wireless Networks: A Polymatroidal Approach.
IEEE Trans. Inf. Theory
Sreeram Kannan, Pramod Viswanath
2014 B conf
Degrees of Freedom for multiple-multicast traffic.
ISIT
Shaileshh Bojja Venkatakrishnan, Pramod Viswanath, Sreeram Kannan
2014 J jnl
Interactive Interference Alignment.
IEEE J. Sel. Areas Commun.
Quan Geng, Sreeram Kannan, Pramod Viswanath
2014 J jnl
Network Capacity Under Traffic Symmetry: Wireline and Wireless Networks.
IEEE Trans. Inf. Theory
Sudeep Kamath, Sreeram Kannan, Pramod Viswanath
2013 B conf
Interactive interference alignment.
ISIT
Quan Geng, Sreeram Kannan, Pramod Viswanath
2013 J jnl
Multi-Session Function Computation and Multicasting in Undirected Graphs.
IEEE J. Sel. Areas Commun.
Sreeram Kannan, Pramod Viswanath
2013 B conf
Multi-terminal function multicasting in undirected graphs.
ISIT
Sreeram Kannan, Pramod Viswanath
2012 J jnl
Approximately Optimal Wireless Broadcasting.
IEEE Trans. Inf. Theory
Sreeram Kannan, Adnan Raja, Pramod Viswanath
2012 J jnl
Interactive Interference Alignment
CoRR
Quan Geng, Sreeram Kannan, Pramod Viswanath
2012 — —
Layering principles for wireless networks
Sreeram Kannan
2012 A conf
Multicommodity flows and cuts in polymatroidal networks.
ITCS
Chandra Chekuri, Sreeram Kannan, Adnan Raja, Pramod Viswanath
2012 B conf
Wireless networks with symmetric demands.
ISIT
Sudeep Kamath, Sreeram Kannan, Pramod Viswanath
2011 B conf
Approximately optimal broadcasting-cum-multicasting in wireless networks.
ISIT
Sreeram Kannan, Adnan Raja, Pramod Viswanath
2011 J jnl
Capacity of Multiple Unicast in Wireless Networks: A Polymatroidal Approach
CoRR
Sreeram Kannan, Pramod Viswanath
2011 B conf
Local phy + global flow: A layering principle for wireless networks.
ISIT
Sreeram Kannan, Adnan Raja, Pramod Viswanath
2011 J jnl
Multicommodity Flows and Cuts in Polymatroidal Networks
CoRR
Chandra Chekuri, Sreeram Kannan, Adnan Raja, Pramod Viswanath
2011 B conf
Multiple-unicast in fading wireless networks: A separation scheme is approximately optimal.
ISIT
Sreeram Kannan, Pramod Viswanath
2010 J jnl
Approximately Optimal Wireless Broadcasting
CoRR
Sreeram Kannan, Adnan Raja, Pramod Viswanath