Local phy + global flow: A layering principle for wireless networks. - Sreeram Kannan; Adnan Raja; Pramod Viswanath (ISIT, 2011)

Approximately optimal broadcasting-cum-multicasting in wireless networks. - Sreeram Kannan; Adnan Raja; Pramod Viswanath (ISIT, 2011)

Multiple-unicast in fading wireless networks: A separation scheme is approximately optimal. - Sreeram Kannan; Pramod Viswanath (ISIT, 2011)

Wireless networks with symmetric demands. - Sudeep Kamath; Sreeram Kannan; Pramod Viswanath (ISIT, 2012)

Approximately Optimal Wireless Broadcasting. - Sreeram Kannan; Adnan Raja; Pramod Viswanath (IEEE Trans. Inf. Theory, 2012)

Layering principles for wireless networks - Sreeram Kannan (2012)

Multi-terminal function multicasting in undirected graphs. - Sreeram Kannan; Pramod Viswanath (ISIT, 2013)

Multi-Session Function Computation and Multicasting in Undirected Graphs. - Sreeram Kannan; Pramod Viswanath (IEEE J. Sel. Areas Commun., 2013)

Degrees of Freedom for multiple-multicast traffic. - Shaileshh Bojja Venkatakrishnan; Pramod Viswanath; Sreeram Kannan (ISIT, 2014)

Interactive Interference Alignment. - Quan Geng; Sreeram Kannan; Pramod Viswanath (IEEE J. Sel. Areas Commun., 2014)

Network Capacity Under Traffic Symmetry: Wireline and Wireless Networks. - Sudeep Kamath; Sreeram Kannan; Pramod Viswanath (IEEE Trans. Inf. Theory, 2014)

Capacity of Multiple Unicast in Wireless Networks: A Polymatroidal Approach. - Sreeram Kannan; Pramod Viswanath (IEEE Trans. Inf. Theory, 2014)

On Shannon capacity and causal estimation. - Rahul Kidambi; Sreeram Kannan (Allerton, 2015)

Delay-constrained unicast and the triangle-cast problem. - Chandra Chekuri; Sudeep Kamath; Sreeram Kannan; Pramod Viswanath (ISIT, 2015)

Minimum HGR correlation principle: From marginals to joint distribution. - Farzan Farnia; Meisam Razaviyayn; Sreeram Kannan; David Tse (ISIT, 2015)

Multicommodity Flows and Cuts in Polymatroidal Networks. - Chandra Chekuri; Sreeram Kannan; Adnan Raja; Pramod Viswanath (SIAM J. Comput., 2015)

Network inference using directed information: The deterministic limit. - Arman Rahimzamani; Sreeram Kannan (Allerton, 2016)

Learning Temporal Dependence from Time-Series Data with Latent Variables. - Hossein Hosseini; Sreeram Kannan; Baosen Zhang; Radha Poovendran (DSAA, 2016)

Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. - Weihao Gao; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (ICML, 2016)

Causal Strength via Shannon Capacity: Axioms, Estimators and Applications. - Weihao Gao; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (CoRR, 2016)

Estimating Mutual Information for Discrete-Continuous Mixtures. - Weihao Gao; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (NIPS, 2017)

Resolving Multicopy Duplications de novo Using Polyploid Phasing. - Mark J. P. Chaisson; Sudipto Mukherjee 001; Sreeram Kannan; Evan E. Eichler (RECOMB, 2017)

abSNP: RNA-Seq SNP Calling in Repetitive Regions via Abundance Estimation. - Shunfu Mao; Soheil Mohajer; Kannan Ramchandran; David Tse; Sreeram Kannan (WABI, 2017)

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems. - Hossein Hosseini; Yize Chen; Sreeram Kannan; Baosen Zhang; Radha Poovendran (CoRR, 2017)

Deceiving Google's Perspective API Built for Detecting Toxic Comments. - Hossein Hosseini; Sreeram Kannan; Baosen Zhang; Radha Poovendran (CoRR, 2017)

Potential Conditional Mutual Information: Estimators, Properties and Applications. - Arman Rahimzamani; Sreeram Kannan (CoRR, 2017)

Discovering Potential Correlations via Hypercontractivity. - Hyeji Kim; Weihao Gao; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (Entropy, 2017)

Potential conditional mutual information: Estimators and properties. - Arman Rahimzamani; Sreeram Kannan (PeerJ Prepr., 2017)

Communication Algorithms via Deep Learning. - Hyeji Kim; Yihan Jiang; Ranvir Rana; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (ICLR (Poster), 2018)

Estimators for Multivariate Information Measures in General Probability Spaces. - Arman Rahimzamani; Himanshu Asnani; Pramod Viswanath; Sreeram Kannan (NeurIPS, 2018)

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. - Sumit Mukherjee; Yue Zhang 024; Joshua Fan 002; Georg Seelig; Sreeram Kannan (Bioinform., 2018)

Globally Consistent Algorithms for Mixture of Experts. - Ashok Vardhan Makkuva; Sreeram Kannan; Pramod Viswanath (CoRR, 2018)

Mimic and Classify : A meta-algorithm for Conditional Independence Testing. - Rajat Sen; Karthikeyan Shanmugam; Himanshu Asnani; Arman Rahimzamani; Sreeram Kannan (CoRR, 2018)

Deconstructing the Blockchain to Approach Physical Limits. - Vivek Kumar Bagaria; Sreeram Kannan; David Tse; Giulia Fanti; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2018)

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. - Songze Li; Mingchao Yu; Amir Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2018)

Models and Information-Theoretic Bounds for Nanopore Sequencing. - Wei Mao 003; Suhas N. Diggavi; Sreeram Kannan (IEEE Trans. Inf. Theory, 2018)

ClusterGAN: Latent Space Clustering in Generative Adversarial Networks. - Sudipto Mukherjee 001; Himanshu Asnani; Eugene Lin; Sreeram Kannan (AAAI, 2019)

Prism: Deconstructing the Blockchain to Approach Physical Limits. - Vivek Kumar Bagaria; Sreeram Kannan; David Tse; Giulia Fanti; Pramod Viswanath (CCS, 2019)

Dropping Pixels for Adversarial Robustness. - Hossein Hosseini; Sreeram Kannan; Radha Poovendran (CVPR Workshops, 2019)

Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms. - Ashok Vardhan Makkuva; Pramod Viswanath; Sreeram Kannan; Sewoong Oh (ICML, 2019)

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (NeurIPS, 2019)

Coded State Machine - Scaling State Machine Execution under Byzantine Faults. - Songze Li; Saeid Sahraei; Mingchao Yu; Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (PODC, 2019)

MIND: Model Independent Neural Decoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan (SPAWC, 2019)

DEEPTURBO: Deep Turbo Decoder. - Yihan Jiang; Sreeram Kannan; Hyeji Kim; Sewoong Oh; Himanshu Asnani; Pramod Viswanath (SPAWC, 2019)

CCMI : Classifier based Conditional Mutual Information Estimation. - Sudipto Mukherjee 001; Himanshu Asnani; Sreeram Kannan (UAI, 2019)

Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples. - Hossein Hosseini; Sreeram Kannan; Radha Poovendran (CoRR, 2019)

Improving Federated Learning Personalization via Model Agnostic Meta Learning. - Yihan Jiang; Jakub Konecný; Keith Rush; Sreeram Kannan (CoRR, 2019)

Proof-of-Stake Longest Chain Protocols Revisited. - Xuechao Wang; Govinda M. Kamath; Vivek Kumar Bagaria; Sreeram Kannan; Sewoong Oh; David Tse; Pramod Viswanath (CoRR, 2019)

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. - Mingchao Yu; Saeid Sahraei; Songze Li; Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2019)

Learning in Gated Neural Networks. - Ashok Vardhan Makkuva; Sewoong Oh; Sreeram Kannan; Pramod Viswanath (AISTATS, 2020)

BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance. - Shunfu Mao; Yihan Jiang; Edwin Basil Mathew; Sreeram Kannan (AlCoB, 2020)

Feedback Turbo Autoencoder. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sewoong Oh; Sreeram Kannan; Pramod Viswanath (ICASSP, 2020)

Perigee: Efficient Peer-to-Peer Network Design for Blockchains. - Yifan Mao; Soubhik Deb; Shaileshh Bojja Venkatakrishnan; Sreeram Kannan; Kannan Srinivasan 001 (PODC, 2020)

Joint Channel Coding and Modulation via Deep Learning. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (SPAWC, 2020)

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. - Arnab Kumar Mondal; Arnab Bhattacharjee; Sudipto Mukherjee 001; Himanshu Asnani; Sreeram Kannan; Prathosh A. P. (UAI, 2020)

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis. - Eugene Lin; Sudipto Mukherjee 001; Sreeram Kannan (BMC Bioinform., 2020)

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation. - Arnab Kumar Mondal; Arnab Bhattacharya 009; Sudipto Mukherjee 001; Sreeram Kannan; Himanshu Asnani; Prathosh AP (CoRR, 2020)

Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation. - Ranvir Rana; Sreeram Kannan; David Tse; Pramod Viswanath (CoRR, 2020)

Deepcode and Modulo-SK are Designed for Different Settings. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (CoRR, 2020)

PoSAT: Proof-of-Work Availability andUnpredictability, without the Work. - Soubhik Deb; Sreeram Kannan; David Tse (CoRR, 2020)

The Checkpointed Longest Chain: User-dependent Adaptivity and Finality. - Suryanarayana Sankagiri; Xuechao Wang; Sreeram Kannan; Pramod Viswanath (CoRR, 2020)

Everything is a Race and Nakamoto Always Wins. - Amir Dembo; Sreeram Kannan; Ertem Nusret Tas; David Tse; Pramod Viswanath; Xuechao Wang; Ofer Zeitouni (IACR Cryptol. ePrint Arch., 2020)

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks. - Yihan Jiang; Hyeji Kim; Himanshu Asnani; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

Deepcode: Feedback Codes via Deep Learning. - Hyeji Kim; Yihan Jiang; Sreeram Kannan; Sewoong Oh; Pramod Viswanath (IEEE J. Sel. Areas Inf. Theory, 2020)

BFT Protocol Forensics. - Peiyao Sheng; Gerui Wang; Kartik Nayak; Sreeram Kannan; Pramod Viswanath (CCS, 2021)

PoSAT: Proof-of-Work Availability and Unpredictability, Without the Work. - Soubhik Deb; Sreeram Kannan; David Tse (Financial Cryptography (2), 2021)

Blockchain CAP Theorem Allows User-Dependent Adaptivity and Finality. - Suryanarayana Sankagiri; Xuechao Wang; Sreeram Kannan; Pramod Viswanath (Financial Cryptography (2), 2021)

ACeD: Scalable Data Availability Oracle. - Peiyao Sheng; Bowen Xue; Sreeram Kannan; Pramod Viswanath (Financial Cryptography (2), 2021)

QAlign: aligning nanopore reads accurately using current-level modeling. - Dhaivat Joshi; Shunfu Mao; Sreeram Kannan; Suhas N. Diggavi (Bioinform., 2021)

Order-Fair Consensus in the Permissionless Setting. - Mahimna Kelkar; Soubhik Deb; Sreeram Kannan (IACR Cryptol. ePrint Arch., 2021)

Themis: Fast, Strong Order-Fairness in Byzantine Consensus. - Mahimna Kelkar; Soubhik Deb; Sishan Long; Ari Juels; Sreeram Kannan (IACR Cryptol. ePrint Arch., 2021)

Securing Parallel-chain Protocols under Variable Mining Power. - Xuechao Wang; Viswa Virinchi Muppirala; Lei Yang 031; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2021)

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. - Songze Li; Mingchao Yu; Chien-Sheng Yang; Amir Salman Avestimehr; Sreeram Kannan; Pramod Viswanath (IEEE Trans. Inf. Forensics Secur., 2021)

Proof-of-Stake Longest Chain Protocols: Security vs Predictability. - Vivek Kumar Bagaria; Amir Dembo; Sreeram Kannan; Sewoong Oh; David Tse; Pramod Viswanath; Xuechao Wang; Ofer Zeitouni (ConsensusDay@CCS, 2022)

Fundamental Limits of Multi-Sample Flow Graph Decomposition. - Kayvon Mazooji; Sreeram Kannan; William Stafford Noble; Ilan Shomorony (ISIT, 2022)

Optimal bootstrapping of PoW blockchains. - Ranvir Rana; Dimitris Karakostas; Sreeram Kannan; Aggelos Kiayias; Pramod Viswanath (MobiHoc, 2022)

DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. - Lei Yang 031; Seo Jin Park; Mohammad Alizadeh; Sreeram Kannan; David Tse (NSDI, 2022)

CellMeSH: probabilistic cell-type identification using indexed literature. - Shunfu Mao; Yue Zhang 024; Georg Seelig; Sreeram Kannan (Bioinform., 2022)

Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities. - Ertem Nusret Tas; David Tse; Fisher Yu 002; Sreeram Kannan; Mohammad Ali Maddah-Ali (CoRR, 2022)

Minotaur: Multi-Resource Blockchain Consensus. - Matthias Fitzi; Xuechao Wang; Sreeram Kannan; Aggelos Kiayias; Nikos Leonardos; Pramod Viswanath; Gerui Wang (IACR Cryptol. ePrint Arch., 2022)

Player-Replaceability and Forensic Support are Two Sides of the Same (Crypto) Coin. - Peiyao Sheng; Gerui Wang; Kartik Nayak; Sreeram Kannan; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2022)

Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities. - Ertem Nusret Tas; David Tse; Fangyu Gai; Sreeram Kannan; Mohammad Ali Maddah-Ali; Fisher Yu 002 (IACR Cryptol. ePrint Arch., 2022)

Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security. - Ertem Nusret Tas; David Tse; Fisher Yu 002; Sreeram Kannan (IACR Cryptol. ePrint Arch., 2022)

TrustBoost: Boosting Trust among Interoperable Blockchains. - Xuechao Wang; Peiyao Sheng; Sreeram Kannan; Kartik Nayak; Pramod Viswanath (IACR Cryptol. ePrint Arch., 2022)

Interpreting neural networks for biological sequences by learning stochastic masks. - Johannes Linder; Alyssa La Fleur; Zibo Chen; Ajasja Ljubetic; David Baker 001; Sreeram Kannan; Georg Seelig (Nat. Mach. Intell., 2022)

Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains. - Ranvir Rana; Sreeram Kannan; David Tse; Pramod Viswanath (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Goldfish: Peer Selection using Matrix Completion in Unstructured P2P Network. - Bowen Xue; Yifan Mao; Shaileshh Bojja Venkatakrishnan; Sreeram Kannan (ICBC, 2023)

BigDipper: A hyperscale BFT system with short term censorship resistance. - Bowen Xue; Soubhik Deb; Sreeram Kannan (CoRR, 2023)

SAKSHI: Decentralized AI Platforms. - Suma Bhat; Canhui Chen; Zerui Cheng; Zhixuan Fang; S. Ashwin Hebbar; Sreeram Kannan; Ranvir Rana; Peiyao Sheng; Himanshu Tyagi; Pramod Viswanath; Xuechao Wang (CoRR, 2023)

HQAlign: aligning nanopore reads for SV detection using current-level modeling. - Dhaivat Joshi; Suhas N. Diggavi; Mark J. P. Chaisson; Sreeram Kannan (Bioinform., 2023)

Travelers: A scalable fair ordering BFT system. - Bowen Xue; Sreeram Kannan (CoRR, 2024)

STAKESURE: Proof of Stake Mechanisms with Strong Cryptoeconomic Safety. - Soubhik Deb; Robert Raynor; Sreeram Kannan (CoRR, 2024)

Unconditionally Safe Light Client. - Niusha Moshrefi; Peiyao Sheng; Soubhik Deb; Sreeram Kannan; Pramod Viswanath (CoRR, 2024)