Kanak Mahadik

Orcid: 0000-0002-6780-4199

According to our database1, Kanak Mahadik authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Graph Deep Factors for Probabilistic Time-series Forecasting.
ACM Trans. Knowl. Discov. Data, February, 2023

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR, 2023

Hypergraph Neural Networks for Time-series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Lerna: transformer architectures for configuring error correction tools for short- and long-read genome sequencing.
BMC Bioinform., 2022

Correlated Stochastic Knapsack with a Submodular Objective.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

AutoMARS: Searching to Compress Multi-Modality Recommendation Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

AutoForecast: Automatic Time-Series Forecasting Model Selection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SandPiper: A Cost-Efficient Adaptive Framework for Online Recommender Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Scheduling ML training on unreliable spot instances.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Context Integrated Relational Spatio-Temporal Resource Forecasting.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Graph Deep Factors for Forecasting.
CoRR, 2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting.
CoRR, 2020

Fast Distributed Bandits for Online Recommendation Systems.
CoRR, 2020

Fast distributed bandits for online recommendation systems.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Designing an Interactive Dashboard for Automated Cloud Resource Management.
Proceedings of the Workshop on Automation Experience across Domains, 2020

2019
Linear Quadratic Regulator for Resource-Efficient Cloud Services.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2018
Performance extraction and suitability analysis of multi- and many-core architectures for next generation sequencing secondary analysis.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
Scalable Genomic Assembly through Parallel <i>de Bruijn</i> Graph Construction for Multiple K-mers.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
SARVAVID: A Domain Specific Language for Developing Scalable Computational Genomics Applications.
Proceedings of the 2016 International Conference on Supercomputing, 2016

2015
Do specialized distributed frameworks for bioinformatics applications obtain better performance over generic ones?
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Orion: Scaling Genomic Sequence Matching with Fine-Grained Parallelization.
Proceedings of the International Conference for High Performance Computing, 2014

Workload characterization for MG-RAST metagenomic data analytics service in the cloud.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2011
Flexible resource allocation for reliable virtual cluster computing systems.
Proceedings of the Conference on High Performance Computing Networking, 2011


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