Ajitesh Srivastava
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
14
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction. | Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava |
| 2025 | AAAI | Aligning Time-series by Local Trends: Applications in Public Health. | Ajitesh Srivastava |
| 2024 | AAAI | Nowcasting Temporal Trends Using Indirect Surveys. | Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Daz-Aranda, Jos Aguilar, Antonio Fernndez Anta, Antonio Ortega, Rosa Elvira Lillo |
| 2024 | ICASSP | Acoustic-to-Articulatory Inversion for Dysarthric Speech: are Pre-Trained Self-Supervised Representations Favorable? | Sarthak Kumar Maharana, Krishna Kamal Adidam, Shoumik Nandi, Ajitesh Srivastava |
| 2024 | KDD | epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Alexander Rodrguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash |
| 2023 | ICASSP | Spatio-Temporal Attention in Multi-Granular Brain Chronnectomes For Detection of Autism Spectrum Disorder. | James Orme-Rogers, Ajitesh Srivastava |
| 2023 | KDD | epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Alexander Rodrguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2022 | KDD | epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodrguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2022 | SC | ReSemble: Reinforced Ensemble Framework for Data Prefetching. | Pengmiao Zhang, Rajgopal Kannan, Ajitesh Srivastava, Anant V. Nori, Viktor K. Prasanna |
| 2022 | RO-MAN | "This Bot Knows What I'm Talking About!" Human-Inspired Laughter Classification Methods for Adaptive Robotic Comedians. | Carson Gray, Trevor Webster, Brian Ozarowicz, Yuhang Chen, Timothy Bui, Ajitesh Srivastava, Naomi T. Fitter |
| 2021 | HiPC | Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. | Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2021 | ICRA | A Robot Walks into a Bar: Automatic Robot Joke Success Assessment. | Ajitesh Srivastava, Naomi T. Fitter |
| 2021 | KDD | The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). | Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodrguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |
| 2021 | SC | GenMAT: A General-Purpose Machine Learning-Driven Auto-Tuner for Heterogeneous Platforms. | Naifeng Zhang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | FPGA | Reuse Kernels or Activations?: A Flexible Dataflow for Low-latency Spectral CNN Acceleration. | Yue Niu, Rajgopal Kannan, Ajitesh Srivastava, Viktor K. Prasanna |
| 2020 | FPGA | QTAccel: A Generic FPGA based Design for Q-Table based Reinforcement Learning Accelerators. | Rachit Rajat, Yuan Meng, Sanmukh R. Kuppannagari, Ajitesh Srivastava, Viktor K. Prasanna, Rajgopal Kannan |
| 2020 | HiPC | Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. | Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | ICLR | GraphSAINT: Graph Sampling Based Inductive Learning Method. | Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | PAKDD | MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. | Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, Csar Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna |
| 2020 | SC | Compiler Abstractions and Runtime for Extreme-scale SAR and CFD Workloads. | Connor Imes, Alexei Colin, Naifeng Zhang, Ajitesh Srivastava, Viktor K. Prasanna, John Paul Walters |
| 2019 | HiPC | SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. | Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna |
| 2016 | WWW | Mining Large Dense Subgraphs. | Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna |
| 2013 | DocEng | A graph-based topic extraction method enabling simple interactive customization. | Ajitesh Srivastava, Axel J. Soto, Evangelos E. Milios |
| 2013 | SAC | Text clustering using one-mode projection of document-word bipartite graphs. | Ajitesh Srivastava, Axel J. Soto, Evangelos E. Milios |
| 2011 | Networking | Assessing the Effects of a Soft Cut-Off in the Twitter Social Network. | Saptarshi Ghosh, Ajitesh Srivastava, Niloy Ganguly |