Ajitesh Srivastava

95 papers A* 10A 5B 8C 1Misc 5Journal 45Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Submodular Maximization under Supermodular Constraint: Greedy Guarantees.
CoRR
Ajitesh Srivastava, Shanghua Teng
2025 A* conf
Aligning Time-series by Local Trends: Applications in Public Health.
AAAI
Ajitesh Srivastava
2025 A* conf
Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction.
AAAI
Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava
2025 J jnl
Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks.
CoRR
Ajitesh Srivastava, Aryan Shetty, Eric Rice
2025 B conf
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space.
IEEE Big Data
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
2025 J jnl
SWAT-NN: Simultaneous Weights and Architecture Training for Neural Networks in a Latent Space.
CoRR
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
2025 J jnl
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression.
CoRR
Mansooreh Montazerin, Majd Al Aawar, Antonio Ortega, Ajitesh Srivastava
2025 J jnl
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors.
CoRR
Mulin Tian, Ajitesh Srivastava
2024 — conf
Acoustic-to-Articulatory Inversion for Dysarthric Speech: are Pre-Trained Self-Supervised Representations Favorable?
ICASSP Workshops
Sarthak Kumar Maharana, Krishna Kamal Adidam, Shoumik Nandi, Ajitesh Srivastava
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 J jnl
Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks.
CoRR
Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava
2024 A* conf
Nowcasting Temporal Trends Using Indirect Surveys.
AAAI
Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Elvira Lillo
2024 J jnl
Simultaneous Weight and Architecture Optimization for Neural Networks.
CoRR
Zitong Huang, Mansooreh Montazerin, Ajitesh Srivastava
2024 J jnl
Task-Agnostic Federated Learning.
CoRR
Zhengtao Yao, Hong Nguyen, Ajitesh Srivastava, José Luis Ambite
2024 A* conf
epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
KDD
Alexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash
2023 J jnl
Acoustic-to-articulatory inversion for dysarthric speech: Are pre-trained self-supervised representations favorable?
CoRR
Sarthak Kumar Maharana, Krishna Kamal Adidam, Shoumik Nandi, Ajitesh Srivastava
2023 J jnl
Adjusting for Unmeasured Confounding Variables in Dynamic Networks.
IEEE Control. Syst. Lett.
Sina Jahandari, Ajitesh Srivastava
2023 J jnl
Behind-the-Meter Solar Generation Disaggregation at Varying Aggregation Levels Using Consumer Mixture Models.
IEEE Trans. Sustain. Comput.
Chung Ming Cheung, Sanmukh Rao Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2023 J jnl
DTW+S: Shape-based Comparison of Time-series with Ordered Local Trend.
CoRR
Ajitesh Srivastava
2023 J jnl
Detection of Delays and Feedthroughs in Dynamic Networked Systems.
IEEE Control. Syst. Lett.
Sina Jahandari, Ajitesh Srivastava
2023 J jnl
Estimating Temporal Trends using Indirect Surveys.
CoRR
Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Ortega, Antonio Fernández Anta, Rosa Lillo-Rodriguez
2023 J jnl
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration.
CoRR
Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
2023 Misc conf
Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes For Detection of Autism Spectrum Disorder.
ICASSP
James Orme-Rogers, Ajitesh Srivastava
2023 A* conf
epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
KDD
Bijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022 B conf
"This Bot Knows What I'm Talking About!" Human-Inspired Laughter Classification Methods for Adaptive Robotic Comedians.
RO-MAN
Carson Gray, Trevor Webster, Brian Ozarowicz, Yuhang Chen, Timothy Bui, Ajitesh Srivastava, Naomi T. Fitter
2022 J jnl
C-MemMAP: clustering-driven compact, adaptable, and generalizable meta-LSTM models for memory access prediction.
Int. J. Data Sci. Anal.
Pengmiao Zhang, Ajitesh Srivastava, Ta-Yang Wang, César A. F. De Rose, Rajgopal Kannan, Viktor K. Prasanna
2022 — ch.
Computational Models for Cascades in Massive Graphs.
Massive Graph Analytics
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2022 J jnl
Decoupling the Depth and Scope of Graph Neural Networks.
CoRR
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2022 J jnl
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware.
CoRR
Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2022 J jnl
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 — conf
Fine-grained address segmentation for attention-based variable-degree prefetching.
CF
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 J jnl
Random Forest of Epidemiological Models for Influenza Forecasting.
CoRR
Majd Al Aawar, Ajitesh Srivastava
2022 A conf
ReSemble: Reinforced Ensemble Framework for Data Prefetching.
SC
Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna
2022 B conf
Shape-based Evaluation of Epidemic Forecasts.
IEEE Big Data
Ajitesh Srivastava, Satwant Singh, Fiona Lee
2022 J jnl
Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes for Detection of Autism Spectrum Disorder.
CoRR
James Orme-Rogers, Ajitesh Srivastava
2022 J jnl
TransforMAP: Transformer for Memory Access Prediction.
CoRR
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna
2022 A* conf
epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery.
KDD
Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2021 A* conf
A Robot Walks into a Bar: Automatic Robot Joke Success Assessment.
ICRA
Ajitesh Srivastava, Naomi T. Fitter
2021 J jnl
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.
CoRR
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021 J jnl
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning.
Proc. VLDB Endow.
Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng, Rajgopal Kannan, Viktor K. Prasanna
2021 J jnl
Accurate, efficient and scalable training of Graph Neural Networks.
J. Parallel Distributed Comput.
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021 A* conf
Decoupling the Depth and Scope of Graph Neural Networks.
NeurIPS
Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor K. Prasanna, Long Jin, Ren Chen
2021 — conf
GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms.
PEHC@SC
Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021 Misc conf
Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms.
HiPC
Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2021 A* conf
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021).
KDD
Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodríguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash
2021 J jnl
The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance.
CoRR
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
2020 — conf
A Framework for Task Mapping onto Heterogeneous Platforms.
HPEC
Ta-Yang Wang, Ajitesh Srivastava, Viktor K. Prasanna
2020 J jnl
Accurate, Efficient and Scalable Training of Graph Neural Networks.
CoRR
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020 — conf
Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads.
ESPM2@SC
Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters
2020 J jnl
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations.
CoRR
Ajitesh Srivastava, Viktor K. Prasanna
2020 C conf
FASTHash: FPGA-Based High Throughput Parallel Hash Table.
ISC
Yang Yang, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020 J jnl
Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model.
CoRR
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
2020 A* conf
GraphSAINT: Graph Sampling Based Inductive Learning Method.
ICLR
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020 J jnl
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic.
CoRR
Ajitesh Srivastava, Viktor K. Prasanna
2020 — conf
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction.
PAKDD (2)
Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna
2020 A conf
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators.
FPGA
Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan
2020 — conf
QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators.
IPDPS Workshops
Yuan Meng, Sanmukh R. Kuppannagari, Rachit Rajat, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2020 — conf
RAOP: Recurrent Neural Network Augmented Offset Prefetcher.
MEMSYS
Pengmiao Zhang, Ajitesh Srivastava, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna
2020 A conf
Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration.
FPGA
Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna
2020 Misc conf
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.
HiPC
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
2020 J jnl
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction.
CoRR
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna
2019 A conf
Accurate, Efficient and Scalable Graph Embedding.
IPDPS
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019 — conf
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware.
HPEC
Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019 J jnl
GraphSAINT: Graph Sampling Based Inductive Learning Method.
CoRR
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2019 J jnl
Network-based intervention strategies to reduce violence among homeless.
Soc. Netw. Anal. Min.
Ajitesh Srivastava, Robin Petering, Nicholas Barr, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna
2019 — conf
On Predicting Crime with Heterogeneous Spatial Patterns: Methods and Evaluation.
SIGSPATIAL/GIS
Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Omkar Damle, Viktor K. Prasanna, Erroll Southers
2019 — conf
Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing.
Allerton
Max Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
2019 J jnl
Optimizing Inter-Datacenter Tail Flow Completion Times using Best Worst-case Routing.
CoRR
Max Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
2019 — conf
Parallel Totally Induced Edge Sampling on FPGAs.
PARCO
Akshit Goel, Sanmukh R. Kuppannagari, Yang Yang, Ajitesh Srivastava, Viktor K. Prasanna
2019 — conf
Parallel edge-based sampling for static and dynamic graphs.
CF
Kartik Lakhotia, Rajgopal Kannan, Aditya Gaur, Ajitesh Srivastava, Viktor K. Prasanna
2019 — conf
Predicting memory accesses: the road to compact ML-driven prefetcher.
MEMSYS
Ajitesh Srivastava, Angelos Lazaris, Benjamin Brooks, Rajgopal Kannan, Viktor K. Prasanna
2019 — conf
RecANt: Network-based Recruitment for Active Fake News Correction.
IEEE BigData
Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2019 Misc conf
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs.
HiPC
Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2019 J jnl
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs.
CoRR
Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna
2018 J jnl
Accurate, Efficient and Scalable Graph Embedding.
CoRR
Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018 — conf
Behind-the-Meter Solar Generation Disaggregation using Consumer Mixture Models.
SmartGridComm
Chung Ming Cheung, Wen Zhong, Chuanxiu Xiong, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2018 A conf
FActCheck: Keeping Activation of Fake News at Check.
AAMAS
Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna
2018 B conf
How to Stop Violence Among Homeless: Extension of Voter Model and Intervention Strategies.
ASONAM
Ajitesh Srivastava, Robin Petering, Rajgopal Kannan, Eric Rice, Viktor K. Prasanna
2018 J jnl
On Minimizing the Completion Times of Long Flows Over Inter-Datacenter WAN.
IEEE Commun. Lett.
Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
2018 J jnl
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN.
CoRR
Mohammad Noormohammadpour, Ajitesh Srivastava, Cauligi S. Raghavendra
2017 — conf
OSCAR: Optimizing SCrAtchpad reuse for graph processing.
HPEC
Shreyas G. Singapura, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2017 — conf
Spatio-Temporal Modeling of Criminal Activity.
SocialSens@CPSWeek
Michail Misyrlis, Chung Ming Cheung, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna
2016 J jnl
Computing competing cascades on signed networks.
Soc. Netw. Anal. Min.
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2016 — conf
Mining Large Dense Subgraphs.
WWW (Companion Volume)
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2015 — conf
A hybrid design for high performance large-scale sorting on FPGA.
ReConFig
Ajitesh Srivastava, Ren Chen, Viktor K. Prasanna, Charalampos Chelmis
2015 B conf
Social Influence Computation and Maximization in Signed Networks with Competing Cascades.
ASONAM
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2015 J jnl
The unified model of social influence and its application in influence maximization.
Soc. Netw. Anal. Min.
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2014 J jnl
Computational models of technology adoption at the workplace.
Soc. Netw. Anal. Min.
Charalampos Chelmis, Ajitesh Srivastava, Viktor K. Prasanna
2014 B conf
Influence in social networks: A unified model?
ASONAM
Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna
2013 B conf
A graph-based topic extraction method enabling simple interactive customization.
ACM Symposium on Document Engineering
Ajitesh Srivastava, Axel J. Soto, Evangelos E. Milios
2013 Misc conf
Text clustering using one-mode projection of document-word bipartite graphs.
SAC
Ajitesh Srivastava, Axel J. Soto, Evangelos E. Milios
2013 J jnl
Understanding Evolution of Inter-Group Relationships Using Bipartite Networks.
IEEE J. Sel. Areas Commun.
Saptarshi Ghosh, Sudipta Saha, Ajitesh Srivastava, Tyll Krueger, Niloy Ganguly, Animesh Mukherjee
2012 J jnl
Degree distributions of evolving alphabetic bipartite networks and their projections.
Theor. Comput. Sci.
Niloy Ganguly, Saptarshi Ghosh, Tyll Krueger, Ajitesh Srivastava
2012 J jnl
Effects of a soft cut-off on node-degree in the Twitter social network.
Comput. Commun.
Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly
2011 B conf
Assessing the Effects of a Soft Cut-Off in the Twitter Social Network.
Networking (2)
Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly