Ajitesh Srivastava

Orcid: 0000-0002-8706-5717

According to our database1, Ajitesh Srivastava authored at least 70 papers between 2011 and 2024.

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Bibliography

2024
Task-Agnostic Federated Learning.
CoRR, 2024

Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks.
CoRR, 2024

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Acoustic-to-Articulatory Inversion for Dysarthric Speech: are Pre-Trained Self-Supervised Representations Favorable?
Proceedings of the IEEE International Conference on Acoustics, 2024

Nowcasting Temporal Trends Using Indirect Surveys.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models.
IEEE Trans. Sustain. Comput., 2023

Adjusting for Unmeasured Confounding Variables in Dynamic Networks.
IEEE Control. Syst. Lett., 2023

Detection of Delays and Feedthroughs in Dynamic Networked Systems.
IEEE Control. Syst. Lett., 2023

DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend.
CoRR, 2023

Estimating Temporal Trends using Indirect Surveys.
CoRR, 2023

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes For Detection of Autism Spectrum Disorder.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction.
Int. J. Data Sci. Anal., 2022

Random Forest of Epidemiological Models for Influenza Forecasting.
CoRR, 2022

TransforMAP: Transformer for Memory Access Prediction.
CoRR, 2022

ReSemble: Reinforced Ensemble Framework for Data Prefetching.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

"This Bot Knows What I'm Talking About!" Human-Inspired Laughter Classification Methods for Adaptive Robotic Comedians.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Fine-grained address segmentation for attention-based variable-degree prefetching.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

Shape-based Evaluation of Epidemic Forecasts.
Proceedings of the IEEE International Conference on Big Data, 2022

Computational Models for Cascades in Massive Graphs.
Proceedings of the Massive Graph Analytics, 2022

2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.
Proc. VLDB Endow., 2021

Accurate, efficient and scalable training of Graph Neural Networks.
J. Parallel Distributed Comput., 2021

The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance.
CoRR, 2021

GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms.
Proceedings of the IEEE/ACM Programming Environments for Heterogeneous Computing, 2021

Decoupling the Depth and Scope of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Robot Walks into a Bar: Automatic Robot Joke Success Assessment.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2020
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model.
CoRR, 2020

Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations.
CoRR, 2020

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic.
CoRR, 2020

FASTHash: FPGA-Based High Throughput Parallel Hash Table.
Proceedings of the High Performance Computing - 35th International Conference, 2020

Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads.
Proceedings of the 5th IEEE/ACM International Workshop on Extreme Scale Programming Models and Middleware, 2020

MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

RAOP: Recurrent Neural Network Augmented Offset Prefetcher.
Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

GraphSAINT: Graph Sampling Based Inductive Learning Method.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Framework for Task Mapping onto Heterogeneous Platforms.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

2019
Network-based intervention strategies to reduce violence among homeless.
Soc. Netw. Anal. Min., 2019

Parallel Totally Induced Edge Sampling on FPGAs.
Proceedings of the Parallel Computing: Technology Trends, 2019

Predicting memory accesses: the road to compact ML-driven prefetcher.
Proceedings of the International Symposium on Memory Systems, 2019

Accurate, Efficient and Scalable Graph Embedding.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs.
Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Parallel edge-based sampling for static and dynamic graphs.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

RecANt: Network-based Recruitment for Active Fake News Correction.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
On Minimizing the Completion Times of Long Flows Over Inter-Datacenter WAN.
IEEE Commun. Lett., 2018

Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

FActCheck: Keeping Activation of Fake News at Check.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
OSCAR: Optimizing SCrAtchpad reuse for graph processing.
Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Spatio-Temporal Modeling of Criminal Activity.
Proceedings of the 2nd International Workshop on Social Sensing, 2017

2016
Computing competing cascades on signed networks.
Soc. Netw. Anal. Min., 2016

Mining Large Dense Subgraphs.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
The unified model of social influence and its application in influence maximization.
Soc. Netw. Anal. Min., 2015

A hybrid design for high performance large-scale sorting on FPGA.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2015

Social Influence Computation and Maximization in Signed Networks with Competing Cascades.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Computational models of technology adoption at the workplace.
Soc. Netw. Anal. Min., 2014

Influence in social networks: A unified model?
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Understanding Evolution of Inter-Group Relationships Using Bipartite Networks.
IEEE J. Sel. Areas Commun., 2013

Text clustering using one-mode projection of document-word bipartite graphs.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

A graph-based topic extraction method enabling simple interactive customization.
Proceedings of the ACM Symposium on Document Engineering 2013, 2013

2012
Degree distributions of evolving alphabetic bipartite networks and their projections.
Theor. Comput. Sci., 2012

Effects of a soft cut-off on node-degree in the Twitter social network.
Comput. Commun., 2012

2011
Assessing the Effects of a Soft Cut-Off in the Twitter Social Network.
Proceedings of the NETWORKING 2011, 2011


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