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Siddhartha Asthana

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2020 – today

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2024
[c29]
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Sanjay Kumar Patnala, Sumedh B. G, Akshay Sethi, Sonia Gupta, Siddhartha Asthana:
SGD-MLP: Structure Generation and Distillation using a graph free MLP. COMAD/CODS 2024: 64-72
[c28]
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Pranav Poduval, Sanjay Kumar Patnala, Gaurav Oberoi, Nitish Srivasatava, Siddhartha Asthana:
CASH via Optimal Diversity for Ensemble Learning. KDD 2024: 2411-2419
[c27]
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Faraz Khoshbakhtian, Gaurav Oberoi, Dionne M. Aleman, Siddhartha Asthana:
MEGA: Multi-encoder GNN Architecture for Stronger Task Collaboration and Generalization. ECML/PKDD (7) 2024: 194-208
2023
[c26]
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Pritam Kumar Nath, Govind Waghmare, Nikhil Tumbde, Nitish Kumar, Siddhartha Asthana:
Learning Temporal Representations of Bipartite Financial Graphs. ICAIF 2023: 202-209
[c25]
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Diksha Shrivastava, Sarthak Pujari, Yatin Katyal, Siddhartha Asthana, Chandrudu K, Aakashdeep Singh:
INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distribution. ICDM (Workshops) 2023: 1591-1599
[c24]
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Akshay Sethi, Sonia Gupta, Ayush Agarwal, Nancy Agrawal, Siddhartha Asthana:
Auto-TabTransformer: Hierarchical Transformers for Self and Semi Supervised Learning in Tabular Data. IJCNN 2023: 1-8
[c23]
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Akshay Sethi, Sonia Gupta, Aakarsh Malhotra, Siddhartha Asthana:
Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning. ECML/PKDD (3) 2023: 19-35
[c22]
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Pranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana:
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. ECML/PKDD (4) 2023: 728-743
2022
[c21]
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Govind Waghmare, Ankur Debnath, Siddhartha Asthana, Aakarsh Malhotra:
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. CIKM 2022: 1986-1995
[i1]
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  - journals/corr/abs-2210-15294
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Govind Waghmare, Ankur Debnath, Siddhartha Asthana, Aakarsh Malhotra:
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. CoRR abs/2210.15294 (2022)
2021
[c20]
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Nitish Kumar, Deepak Chaurasiya, Alok Singh, Siddhartha Asthana, Kushagra Agarwal, Ankur Arora:
MeDML: Med-Dynamic Meta Learning - A multi-layered representation to identify provider fraud in healthcare. FLAIRS 2021
[c19]
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Maitrey Gramopadhye, Shreyansh Singh, Kushagra Agarwal, Nitish Srivasatava, Alok Singh, Siddhartha Asthana, Ankur Arora:
CuRL: Coupled Representation Learning of Cards and Merchants to Detect Transaction Frauds. ICANN (5) 2021: 16-29
[c18]
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Aditya Singh, Anubhav Gupta, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Temporal Debiasing using Adversarial Loss based GNN architecture for Crypto Fraud Detection. ICMLA 2021: 391-396
[c17]
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Lalasa Dheekollu, Hardik Wadhwa, Siddharth Vimal, Anubhav Gupta, Siddhartha Asthana, Ankur Arora, Smriti Gupta:
Modeling approaches for Silent Attrition prediction in Payment networks. ICMLA 2021: 409-414
[c16]
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Ankur Debnath, Nitish Gupta, Govind Waghmare, Hardik Wadhwa, Siddhartha Asthana, Ankur Arora:
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data. PKDD/ECML Workshops (1) 2021: 306-321
2020
[c15]
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Kushagra Agarwal, Lalasa Dheekollu, Gaurav Dhama, Ankur Arora, Siddhartha Asthana, Tanmoy Bhowmik:
Deep Learning based Time Series Forecasting. ICMLA 2020: 859-864
[c14]
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  - conf/icmla/MulayBCADA20
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Nidhi Mulay, Vikas Bishnoi, Himanshi Charotia, Siddhartha Asthana, Gaurav Dhama, Ankur Arora:
Pandemic spread prediction and healthcare preparedness through financial and mobility data. ICMLA 2020: 1340-1347

2010 – 2019

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2016
[c13]
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Konstantinos Kazakos, Siddhartha Asthana, Madeline Balaam, Mona Duggal, Amey Holden, Limalemla Jamir, Nanda Kishore Kannuri, Saurabh Kumar, Amarendar Reddy Manindla, Subhashini Arcot Manikam, G. V. S. Murthy, Papreen Nahar, Peter Phillimore, Shreyaswi Sathyanath, Pushpendra Singh, Meenu Singh, Peter C. Wright, Deepika Yadav, Patrick Olivier:
A Real-Time IVR Platform for Community Radio. CHI 2016: 343-354
2015
[c12]
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Siddhartha Asthana, Pushpendra Singh, Parul Gupta:
Survival Analysis: Objective assessment of Wait Time in HCI. CHI 2015: 367-376
[c11]
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  - conf/chinz/AsthanaS15
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Siddhartha Asthana, Pushpendra Singh:
Data Driven Usability: A Case for Adaptive Interfaces in Voice Based Menu Systems. CHINZ 2015: 57-64
[c10]
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Siddhartha Asthana, Pushpendra Singh:
Maareech: Usability Testing Tool for Voice Response System Using XML Based User Models. HCI (18) 2015: 101-112
[c9]
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Siddhartha Asthana, Pushpendra Singh, Shraddha Jain:
Adaptive framework for data transmission over GSM voice channel for developing regions. NTMS 2015: 1-5
2013
[c8]
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
Exploring adverse effects of adaptive voice menu. CHI Extended Abstracts 2013: 775-780
[c7]
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
Design and evaluation of adaptive interfaces for IVR systems. CHI Extended Abstracts 2013: 1713-1718
[c6]
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  - conf/dev/AsthanaSS13
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
A usability study of adaptive interfaces for interactive voice response system. ACM DEV (3) 2013: 34:1-34:2
[c5]
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
Exploring the usability of interactive voice response system's design. ACM DEV (3) 2013: 36:1-36:2
[c4]
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
Assessing Designs of Interactive Voice Response Systems for Better Usability. HCI (9) 2013: 183-192
[c3]
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Siddhartha Asthana, Pushpendra Singh:
MVoice: a mobile based generic ICT tool. ICTD (2) 2013: 5-8
[c2]
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Vivek Srinivasan, Vibhore Vardhan, Snigdha Kar, Siddhartha Asthana, Rajendran Narayanan, Pushpendra Singh, Dipanjan Chakraborty, Amarjeet Singh, Aaditeshwar Seth:
Airavat: an automated system to increase transparency and accountability in social welfare schemes in India. ICTD (2) 2013: 151-154
[c1]
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Siddhartha Asthana, Pushpendra Singh, Amarjeet Singh:
MockTell: exploring challenges of user emulation in interactive voice response testing. ICPE 2013: 427-428

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