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Ayush Chauhan
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2020 – today
- 2024
- [i5]Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien:
Enhancing Language Model Reasoning via Weighted Reasoning in Self-Consistency. CoRR abs/2410.07839 (2024) - 2023
- [c5]Ayush Chauhan, Rahul Chauhan, Ankita Nainwal, Anamika Arora, Chandradeep Bhatt:
Image Multidiffusion Algorithms for AI Generative Art. IC3I 2023: 1098-1103 - [c4]Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan:
Towards Optimizing Storage Costs on the Cloud. ICDE 2023: 2919-2932 - [c3]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. WWW 2023: 2905-2915 - [i4]Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini:
CausIL: Causal Graph for Instance Level Microservice Data. CoRR abs/2303.00554 (2023) - [i3]Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini, Karanpreet Singh, Khushi, Harsh Kesarwani, Kavya Barnwal, Ayush Chauhan:
Towards Optimizing Storage Costs on the Cloud. CoRR abs/2305.14818 (2023) - 2020
- [j1]Nikita Jain, Ayush Chauhan, Prakhar Tripathi, Saad Bin Moosa, Prateek Aggarwal, Behcet Öznacar:
Cell image analysis for malaria detection using deep convolutional network. Intell. Decis. Technol. 14(1): 55-65 (2020) - [c2]Ayush Chauhan, Archiki Prasad, Parth Gupta, Prashanth Amireddy, Shiv Kumar Saini:
Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks. WWW (Companion Volume) 2020: 120-121 - [i2]Ayush Chauhan, Aditya Anand, Shaddy Garg, Sunny Dhamnani, Shiv Kumar Saini:
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions. CoRR abs/2012.04445 (2020)
2010 – 2019
- 2019
- [c1]Ayush Chauhan, Kunal Bansal, A. K. Chaturvedi:
Weighted Sum of Spectral Efficiency and Energy Efficiency in Spatial Modulation-MIMO Systems. VTC Fall 2019: 1-5 - [i1]Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel:
Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. CoRR abs/1912.00163 (2019)
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