Sreeram Kannan

Orcid: 0000-0001-8843-2964

According to our database1, Sreeram Kannan authored at least 92 papers between 2011 and 2024.

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Bibliography

2024
STAKESURE: Proof of Stake Mechanisms with Strong Cryptoeconomic Safety.
CoRR, 2024

Travelers: A scalable fair ordering BFT system.
CoRR, 2024

2023
HQAlign: aligning nanopore reads for SV detection using current-level modeling.
Bioinform., October, 2023

SAKSHI: Decentralized AI Platforms.
CoRR, 2023

BigDipper: A hyperscale BFT system with short term censorship resistance.
CoRR, 2023

Goldfish: Peer Selection using Matrix Completion in Unstructured P2P Network.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

2022
Free2Shard: Adversary-resistant Distributed Resource Allocation for Blockchains.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Interpreting neural networks for biological sequences by learning stochastic masks.
Nat. Mach. Intell., 2022

TrustBoost: Boosting Trust among Interoperable Blockchains.
IACR Cryptol. ePrint Arch., 2022

Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security.
IACR Cryptol. ePrint Arch., 2022

Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities.
IACR Cryptol. ePrint Arch., 2022

Player-Replaceability and Forensic Support are Two Sides of the Same (Crypto) Coin.
IACR Cryptol. ePrint Arch., 2022

Minotaur: Multi-Resource Blockchain Consensus.
IACR Cryptol. ePrint Arch., 2022

Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities.
CoRR, 2022

CellMeSH: probabilistic cell-type identification using indexed literature.
Bioinform., 2022

DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks.
Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Optimal bootstrapping of PoW blockchains.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

Fundamental Limits of Multi-Sample Flow Graph Decomposition.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Proof-of-Stake Longest Chain Protocols: Security vs Predictability.
Proceedings of the 2022 ACM Workshop on Developments in Consensus, 2022

2021
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
IEEE Trans. Inf. Forensics Secur., 2021

Securing Parallel-chain Protocols under Variable Mining Power.
IACR Cryptol. ePrint Arch., 2021

Themis: Fast, Strong Order-Fairness in Byzantine Consensus.
IACR Cryptol. ePrint Arch., 2021

Order-Fair Consensus in the Permissionless Setting.
IACR Cryptol. ePrint Arch., 2021

QAlign: aligning nanopore reads accurately using current-level modeling.
Bioinform., 2021

ACeD: Scalable Data Availability Oracle.
Proceedings of the Financial Cryptography and Data Security, 2021

Blockchain CAP Theorem Allows User-Dependent Adaptivity and Finality.
Proceedings of the Financial Cryptography and Data Security, 2021

PoSAT: Proof-of-Work Availability and Unpredictability, Without the Work.
Proceedings of the Financial Cryptography and Data Security, 2021

BFT Protocol Forensics.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Deepcode: Feedback Codes via Deep Learning.
IEEE J. Sel. Areas Inf. Theory, 2020

LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
IEEE J. Sel. Areas Inf. Theory, 2020

Everything is a Race and Nakamoto Always Wins.
IACR Cryptol. ePrint Arch., 2020

The Checkpointed Longest Chain: User-dependent Adaptivity and Finality.
CoRR, 2020

PoSAT: Proof-of-Work Availability andUnpredictability, without the Work.
CoRR, 2020

Deepcode and Modulo-SK are Designed for Different Settings.
CoRR, 2020

Free2Shard: Adaptive-adversary-resistant sharding via Dynamic Self Allocation.
CoRR, 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
CoRR, 2020

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis.
BMC Bioinform., 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Joint Channel Coding and Modulation via Deep Learning.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Perigee: Efficient Peer-to-Peer Network Design for Blockchains.
Proceedings of the PODC '20: ACM Symposium on Principles of Distributed Computing, 2020

Feedback Turbo Autoencoder.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance.
Proceedings of the Algorithms for Computational Biology, 2020

Learning in Gated Neural Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains.
IACR Cryptol. ePrint Arch., 2019

Proof-of-Stake Longest Chain Protocols Revisited.
CoRR, 2019

Improving Federated Learning Personalization via Model Agnostic Meta Learning.
CoRR, 2019

Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples.
CoRR, 2019

CCMI : Classifier based Conditional Mutual Information Estimation.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

DEEPTURBO: Deep Turbo Decoder.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

MIND: Model Independent Neural Decoder.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Coded State Machine - Scaling State Machine Execution under Byzantine Faults.
Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, 2019

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms.
Proceedings of the 36th International Conference on Machine Learning, 2019

Dropping Pixels for Adversarial Robustness.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Prism: Deconstructing the Blockchain to Approach Physical Limits.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

ClusterGAN: Latent Space Clustering in Generative Adversarial Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Models and Information-Theoretic Bounds for Nanopore Sequencing.
IEEE Trans. Inf. Theory, 2018

PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously.
IACR Cryptol. ePrint Arch., 2018

Deconstructing the Blockchain to Approach Physical Limits.
IACR Cryptol. ePrint Arch., 2018

Mimic and Classify : A meta-algorithm for Conditional Independence Testing.
CoRR, 2018

Globally Consistent Algorithms for Mixture of Experts.
CoRR, 2018

Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge.
Bioinform., 2018

Estimators for Multivariate Information Measures in General Probability Spaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Communication Algorithms via Deep Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Potential conditional mutual information: Estimators and properties.
PeerJ Prepr., 2017

Discovering Potential Correlations via Hypercontractivity.
Entropy, 2017

Potential Conditional Mutual Information: Estimators, Properties and Applications.
CoRR, 2017

Deceiving Google's Perspective API Built for Detecting Toxic Comments.
CoRR, 2017

Blocking Transferability of Adversarial Examples in Black-Box Learning Systems.
CoRR, 2017

abSNP: RNA-Seq SNP Calling in Repetitive Regions via Abundance Estimation.
Proceedings of the 17th International Workshop on Algorithms in Bioinformatics, 2017

Resolving Multicopy Duplications de novo Using Polyploid Phasing.
Proceedings of the Research in Computational Molecular Biology, 2017

Estimating Mutual Information for Discrete-Continuous Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications.
CoRR, 2016

Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Learning Temporal Dependence from Time-Series Data with Latent Variables.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Network inference using directed information: The deterministic limit.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Multicommodity Flows and Cuts in Polymatroidal Networks.
SIAM J. Comput., 2015

Minimum HGR correlation principle: From marginals to joint distribution.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Delay-constrained unicast and the triangle-cast problem.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On Shannon capacity and causal estimation.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Capacity of Multiple Unicast in Wireless Networks: A Polymatroidal Approach.
IEEE Trans. Inf. Theory, 2014

Network Capacity Under Traffic Symmetry: Wireline and Wireless Networks.
IEEE Trans. Inf. Theory, 2014

Interactive Interference Alignment.
IEEE J. Sel. Areas Commun., 2014

Degrees of Freedom for multiple-multicast traffic.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013
Multi-Session Function Computation and Multicasting in Undirected Graphs.
IEEE J. Sel. Areas Commun., 2013

Multi-terminal function multicasting in undirected graphs.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Layering principles for wireless networks
PhD thesis, 2012

Approximately Optimal Wireless Broadcasting.
IEEE Trans. Inf. Theory, 2012

Wireless networks with symmetric demands.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Multiple-unicast in fading wireless networks: A separation scheme is approximately optimal.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Approximately optimal broadcasting-cum-multicasting in wireless networks.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Local phy + global flow: A layering principle for wireless networks.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011


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