Abhishek Sinha

Orcid: 0000-0002-3598-480X

According to our database1, Abhishek Sinha authored at least 72 papers between 2011 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Zero-shot Active Learning Using Self Supervised Learning.
CoRR, 2024

Confidence Is All You Need for MI Attacks (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fast and Secure Routing Algorithms for Quantum Key Distribution Networks.
IEEE/ACM Trans. Netw., October, 2023

Confidence Is All You Need for MI Attacks.
CoRR, 2023

Playing in the Dark: No-regret Learning with Adversarial Constraints.
CoRR, 2023

$α$-Fair Contextual Bandits.
CoRR, 2023

BanditQ - No-Regret Learning with Guaranteed Per-User Rewards in Adversarial Environments.
CoRR, 2023

No-regret Algorithms for Fair Resource Allocation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Optimizing Age-of-Information in Adversarial and Stochastic Environments.
IEEE Trans. Inf. Theory, 2022

Online Subset Selection using $α$-Core with no Augmented Regret.
CoRR, 2022

Universal Caching.
Proceedings of the IEEE Information Theory Workshop, 2022

Joint Power and Subcarrier Allocation in Multi-Cell Multi-Carrier NOMA.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Comparing Distributions by Measuring Differences that Affect Decision Making.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimizing Age-of-Information in Adversarial Environments with Channel State Information.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Fast and Secure Routing Algorithms for Quantum Key Distribution Networks.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

Status-quo Policy Gradient in Multi-Agent Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

k-experts - Online Policies and Fundamental Limits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Optimal Control of Distributed Computing Networks With Mixed-Cast Traffic Flows.
IEEE/ACM Trans. Netw., 2021

Throughput-Optimal Broadcast in Wireless Networks with Point-to-Multipoint Transmissions.
IEEE Trans. Mob. Comput., 2021

Optimistic No-regret Algorithms for Discrete Caching.
Proc. ACM Meas. Anal. Comput. Syst., 2021

D2C: Diffusion-Denoising Models for Few-shot Conditional Generation.
CoRR, 2021

D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$\texttt{LeadCache}$: Regret-Optimal Caching in Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Caching with Optimal Switching Regret.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Negative Data Augmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Competitive Algorithms for Minimizing the Maximum Age-of-Information.
SIGMETRICS Perform. Evaluation Rev., 2020

Fundamental Limits on the Regret of Online Network-Caching.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Optimizing the Age-of-Information for Mobile Users in Adversarial and Stochastic Environments.
CoRR, 2020

Caching in Networks without Regret.
CoRR, 2020

On the Benefits of Models with Perceptually-Aligned Gradients.
CoRR, 2020

Fundamental Limits of Online Network-Caching.
CoRR, 2020

Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss.
CoRR, 2020

Charting the Right Manifold: Manifold Mixup for Few-shot Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Fundamental Limits of Age-of-Information in Stationary and Non-stationary Environments.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Attributional Robustness Training Using Input-Gradient Spatial Alignment.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Scheduling Algorithms for Optimizing Age of Information in Wireless Networks With Throughput Constraints.
IEEE/ACM Trans. Netw., 2019

Throughput-Optimal Broadcast in Wireless Networks with Dynamic Topology.
IEEE Trans. Mob. Comput., 2019

cFineGAN: Unsupervised multi-conditional fine-grained image generation.
CoRR, 2019

A Method for Computing Class-wise Universal Adversarial Perturbations.
CoRR, 2019

On the Benefits of Attributional Robustness.
CoRR, 2019

Intrusion Detection using Sequential Hybrid Model.
CoRR, 2019

On Minimizing the Maximum Age-of-Information For Wireless Erasure Channels.
Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Scheduling Algorithms for 5G Networks with Mid-haul Capacity Constraints.
Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Attention Based Natural Language Grounding by Navigating Virtual Environment.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving classification performance of support vector machines via guided custom kernel search.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Powering Robust Fashion Retrieval With Information Rich Feature Embeddings.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Optimal Control for Generalized Network-Flow Problems.
IEEE/ACM Trans. Netw., 2018

Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks.
IEEE/ACM Trans. Netw., 2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space.
CoRR, 2018

Network utility maximization with heterogeneous traffic flows.
Proceedings of the 16th International Symposium on Modeling and Optimization in Mobile, 2018

Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Understanding Adversarial Space Through the Lens of Attribution.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Optimizing Age of Information in Wireless Networks with Throughput Constraints.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Towards Mathematical Reasoning: A Multimodal Deep Learning Approach.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Throughput-Optimal Multi-Hop Broadcast Algorithms.
IEEE/ACM Trans. Netw., 2017

Throughput-Optimal Multihop Broadcast on Directed Acyclic Wireless Networks.
IEEE/ACM Trans. Netw., 2017

Deploy-As-You-Go Wireless Relay Placement: An Optimal Sequential Decision Approach Using the Multi-Relay Channel Model.
IEEE Trans. Mob. Comput., 2017

Deep Fault Analysis and Subset Selection in Solar Power Grids.
CoRR, 2017

Intelligent Subset Selection of Power Generators for Economic Dispatch.
CoRR, 2017

Distributed load management algorithms in anycast-based CDNs.
Comput. Networks, 2017

Intelligent Fault Analysis in Electrical Power Grids.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Introspection: Accelerating Neural Network Training By Learning Weight Evolution.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Spam Email Detection Using Deep Support Vector Machine, Support Vector Machine and Artificial Neural Network.
Proceedings of the Soft Computing Applications, 2016

2015
Throughput-optimal broadcast on directed acyclic graphs.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Distributed load management in anycast-based CDNs.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Optimal sequential wireless relay placement on a random lattice path.
Ad Hoc Networks, 2014

2012
Optimal Sequential Wireless Relay Placement on a Random Lattice Path
CoRR, 2012

Optimal capacity relay node placement in a multi-hop network on a line.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Biometric Monitoring as a Persuasive Technology: Ensuring Patients Visit Health Centers in India's Slums.
Proceedings of the Persuasive Technology. Design for Health and Safety, 2012

2011
A Linear State-Space Analysis of the Migration Model in an Island Biogeography System.
IEEE Trans. Syst. Man Cybern. Part A, 2011

On Periodic Node Deployment in Wireless Sensor Networks: A Statistical Analysis
CoRR, 2011


  Loading...