Ajitesh Srivastava

CoRR, 2024

Task-Agnostic Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

[BibT_eX]

[DOI]

Marie-Laure Charpignon

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?

[BibT_eX]

[DOI]

Sarthak Kumar Maharana

Krishna Kamal Adidam

Shoumik Nandi

Proceedings of the IEEE International Conference on Acoustics, 2024

Nowcasting Temporal Trends Using Indirect Surveys.

[BibT_eX]

[DOI]

Antonio Fernández Anta

Antonio Ortega

Rosa Elvira Lillo

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.

[BibT_eX]

[DOI]

Chung Ming Cheung

Sanmukh Rao Kuppannagari

IEEE Trans. Sustain. Comput., 2023

Adjusting for Unmeasured Confounding Variables in Dynamic Networks.

[BibT_eX]

[DOI]

Sina Jahandari

IEEE Control. Syst. Lett., 2023

Detection of Delays and Feedthroughs in Dynamic Networked Systems.

[BibT_eX]

[DOI]

Sina Jahandari

IEEE Control. Syst. Lett., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Estimating Temporal Trends using Indirect Surveys.

[BibT_eX]

[DOI]

Antonio Fernández Anta

Rosa Lillo-Rodriguez

CoRR, 2023

epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.

[BibT_eX]

[DOI]

Marie-Laure Charpignon

Anil Vullikanti

B. Aditya Prakash

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.

[BibT_eX]

[DOI]

James Orme-Rogers

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.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2022

Random Forest of Epidemiological Models for Influenza Forecasting.

[BibT_eX]

[DOI]

Majd Al Aawar

CoRR, 2022

TransforMAP: Transformer for Memory Access Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

ReSemble: Reinforced Ensemble Framework for Data Prefetching.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Marie-Laure Charpignon

Anil Vullikanti

B. Aditya Prakash

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.

[BibT_eX]

[DOI]

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

Shape-based Evaluation of Epidemic Forecasts.

[BibT_eX]

[DOI]

Satwant Singh

Fiona Lee

Proceedings of the IEEE International Conference on Big Data, 2022

Computational Models for Cascades in Massive Graphs.

[BibT_eX]

[DOI]

Proceedings of the Massive Graph Analytics, 2022

2021

Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Accurate, efficient and scalable training of Graph Neural Networks.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2021

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

[BibT_eX]

[DOI]

Tianjian Xu

CoRR, 2021

GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Programming Environments for Heterogeneous Computing, 2021

Decoupling the Depth and Scope of Graph Neural Networks.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Naomi T. Fitter

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tianjian Xu

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

FASTHash: FPGA-Based High Throughput Parallel Hash Table.

[BibT_eX]

[DOI]

Yang Yang

Sanmukh R. Kuppannagari

Proceedings of the High Performance Computing - 35th International Conference, 2020

Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

César Augusto Fonticielha De Rose

Ta-Yang Wang

Pengmiao Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

RAOP: Recurrent Neural Network Augmented Offset Prefetcher.

[BibT_eX]

[DOI]

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

GraphSAINT: Graph Sampling Based Inductive Learning Method.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Framework for Task Mapping onto Heterogeneous Platforms.

[BibT_eX]

[DOI]

Ta-Yang Wang

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rachit Rajat

Yuan Meng

Sanmukh R. Kuppannagari

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2019

Parallel Totally Induced Edge Sampling on FPGAs.

[BibT_eX]

[DOI]

Akshit Goel

Sanmukh R. Kuppannagari

Yang Yang

Proceedings of the Parallel Computing: Technology Trends, 2019

Predicting memory accesses: the road to compact ML-driven prefetcher.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Memory Systems, 2019

Accurate, Efficient and Scalable Graph Embedding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Parallel edge-based sampling for static and dynamic graphs.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

RecANt: Network-based Recruitment for Active Fake News Correction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Max Noormohammadpour

Mohammad Noormohammadpour

Cauligi S. Raghavendra

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

On Minimizing the Completion Times of Long Flows Over Inter-Datacenter WAN.

[BibT_eX]

[DOI]

Cauligi S. Raghavendra

IEEE Commun. Lett., 2018

Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

FActCheck: Keeping Activation of Fake News at Check.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Spatio-Temporal Modeling of Criminal Activity.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Social Sensing, 2017

2016

Computing competing cascades on signed networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Mining Large Dense Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

2015

The unified model of social influence and its application in influence maximization.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2015

A hybrid design for high performance large-scale sorting on FPGA.

[BibT_eX]

[DOI]

Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2015

Social Influence Computation and Maximization in Signed Networks with Competing Cascades.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2014

Influence in social networks: A unified model?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2013

Text clustering using one-mode projection of document-word bipartite graphs.

[BibT_eX]

[DOI]

Axel J. Soto

Evangelos E. Milios

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

A graph-based topic extraction method enabling simple interactive customization.

[BibT_eX]

[DOI]

Axel J. Soto

Evangelos E. Milios

Proceedings of the ACM Symposium on Document Engineering 2013, 2013

2012

Degree distributions of evolving alphabetic bipartite networks and their projections.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2012

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

[BibT_eX]

[DOI]

Saptarshi Ghosh

Niloy Ganguly

Comput. Commun., 2012

2011

Assessing the Effects of a Soft Cut-Off in the Twitter Social Network.

[BibT_eX]

[DOI]

Saptarshi Ghosh