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Aditya Jain
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2020 – today
- 2024
- [c17]Vedang Asgaonkar, Aditya Jain, Abir De:
Generator Assisted Mixture of Experts for Feature Acquisition in Batch. AAAI 2024: 10927-10934 - [c16]Aditya Jain, Fagner Cunha, Michael James Bunsen, Juan Sebastián Cañas, Léonard Pasi, Nathan Pinoy, Flemming Helsing, JoAnne Russo, Marc Botham, Michael Sabourin, Jonathan Fréchette, Alexandre Anctil, Yacksecari Lopez, Eduardo Navarro, Filonila Perez Pimentel, Ana Cecilia Zamora, José Alejandro Ramirez Silva, Jonathan Gagnon, Tom August, Kim Bjerge, Alba Gomez Segura, Marc Bélisle, Yves Basset, Kent P. McFarland, David Roy, Toke Thomas Høye, Maxim Larrivée, David Rolnick:
Insect Identification in the Wild: The AMI Dataset. ECCV (37) 2024: 55-73 - [c15]Damini Babbar, Aditya Jain, Ankit Sharma, Dipyaman Banerjee:
Forgery Detection in Aadhaar-based KYC using Deep Learning. ICMLC 2024: 244-250 - [c14]Nicholas Pinder, Alicia Joseph, Gabriela Himmele, Evi Ofekeze, Aditya Jain, Kari Espada, Carrie Vuyovich:
Predicting Snow Water Equivalent in the Tuolumne River Basin, CA Through Time Series Forecasting Using Deep-Learning. IGARSS 2024: 1859-1863 - [c13]Gabriela Himmele, Alicia Joseph, Evi Ofekeze, Nicholas Pinder, Ryan Miller, Aditya Jain, Carrie Vuyovich, Kari Espada:
Using Unsupervised Machine Learning Methods and the Nasa Snowex Swesarr Instrument to Study How Snow Water Equivalent is Changing with Climate Change. IGARSS 2024: 1869-1872 - [c12]Alicia Joseph, Gabriela Himmele, Matthew Pearce, Nicholas Pinder, Aditya Jain, Kari Espada, Joy Conway, Megan Mason, Carrie Vuyovich:
Integrating Early Career Stem Research Through Machine Learning by the NASA Climate Change Research Initiative (CCRI). IGARSS 2024: 1873-1877 - [c11]Aditya Jain, Alicia Joseph, Gabriela Himmele, Nicholas Pinder, Evi Ofekeze, Carrie Vuyovich, Kari Espada, Joy Conway, Ryan Miller:
Utilizing Machine Learning and Anomaly Detection to Detect Skewed SWESARR Data and Understand How Snow Water Equivalent Changes Spatially. IGARSS 2024: 1878-1882 - [c10]Shreenaga Chikoti, Shubham, Yukkta Seelam, Aditya Jain, Nishi Mehta, Sidhartha Watsa, Ayush Ranjan, Laxmidhar Behera:
Towards Autonomous Shooting Rover via Situation Aware Visual-Perception and Dynamic Action Execution. SII 2024: 1113-1118 - [i10]Dhruv Ramu, Rishab Jain, Aditya Jain:
Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord. CoRR abs/2401.04120 (2024) - [i9]Trevor Exley, Rashmi Wijesundara, Nathan Tan, Akshay Sunkara, Xinyu He, Shuopu Wang, Bonnie Chan, Aditya Jain, Luis Espinosa, Amir Jafari:
Agonist-Antagonist Pouch Motors: Bidirectional Soft Actuators Enhanced by Thermally Responsive Peltier Elements. CoRR abs/2403.10955 (2024) - [i8]Aditya Jain, Fagner Cunha, Michael James Bunsen, Juan Sebastián Cañas, Léonard Pasi, Nathan Pinoy, Flemming Helsing, JoAnne Russo, Marc Botham, Michael Sabourin, Jonathan Fréchette, Alexandre Anctil, Yacksecari Lopez, Eduardo Navarro, Filonila Perez Pimentel, Ana Cecilia Zamora, José Alejandro Ramirez Silva, Jonathan Gagnon, Tom August, Kim Bjerge, Alba Gomez Segura, Marc Bélisle, Yves Basset, Kent P. McFarland, David Roy, Toke Thomas Høye, Maxim Larrivée, David Rolnick:
Insect Identification in the Wild: The AMI Dataset. CoRR abs/2406.12452 (2024) - [i7]Aditya Jain, Fagner Cunha, Michael James Bunsen, Léonard Pasi, Anna Viklund, Maxim Larrivée, David Rolnick:
A machine learning pipeline for automated insect monitoring. CoRR abs/2406.13031 (2024) - 2023
- [j9]Rishab Jain, Aditya Jain, Elizabeth Mauro, Kevin LeShane, Douglas Densmore:
ICOR: improving codon optimization with recurrent neural networks. BMC Bioinform. 24(1): 132 (2023) - [c9]Aditya Jain, Ryan Bockmon, Chris Bourke, Steve Cooper:
Validating a Language-Independent CS1 Learning Outcomes Assessment. CompEd (1) 2023: 78-83 - [c8]Niharika Singh, Samrat Dutta, Aditya Jain, Ravi Prakash, Anima Majumder, Rajesh Sinha, Laxmidhar Behera, Tushar Sandhan:
Imitation Learning of Long-Horizon Manipulation Tasks Through Temporal Sub-action Sequencing. CVIP (2) 2023: 347-361 - [i6]Rishab Jain, Aditya Jain:
Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work. CoRR abs/2312.10057 (2023) - [i5]Vedang Asgaonkar, Aditya Jain, Abir De:
Generator Assisted Mixture of Experts For Feature Acquisition in Batch. CoRR abs/2312.12574 (2023) - 2022
- [j8]Aditya Jain:
Sharing Demand Information with Retailer Under Upstream Competition. Manag. Sci. 68(7): 4983-5001 (2022) - [j7]Tathagat Banerjee, Aditya Jain, Sibi Chakkaravarthy Sethuraman, Suresh Chandra Satapathy, S. Karthikeyan, Ajith Jubilson:
Deep Convolutional Neural Network (Falcon) and transfer learning-based approach to detect malarial parasite. Multim. Tools Appl. 81(10): 13237-13251 (2022) - [c7]Manish Pathak, Aditya Jain:
µBoost: An Effective Method for Solving Indic Multilingual Text Classification Problem. BigMM 2022: 96-100 - [c6]Aditya Jain, Manish Pathak, M. Divya Prabha:
Tackling Cookieless Domain Recommendation for Digital Advertising Targetting. BigMM 2022: 111-112 - [i4]Abhinav Lalwani, Aman Saraiya, Apoorv Singh, Aditya Jain, Tirtharaj Dash:
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches. CoRR abs/2206.09258 (2022) - [i3]Manish Pathak, Aditya Jain:
muBoost: An Effective Method for Solving Indic Multilingual Text Classification Problem. CoRR abs/2206.10280 (2022) - 2021
- [j6]Navid Hosseinzadeh, Aditya Jain, Roger J. Helkey, James F. Buckwalter:
A Distributed Low-Noise Amplifier for Broadband Linearization of a Silicon Photonic Mach-Zehnder Modulator. IEEE J. Solid State Circuits 56(6): 1897-1909 (2021) - [j5]Mehmet Sekip Altug, Tolga Aydinliyim, Aditya Jain:
Managing Opportunistic Consumer Returns in Retail Operations. Manag. Sci. 67(9): 5660-5678 (2021) - [c5]Shivam Mhaskar, Aditya Jain, Aakash Banerjee, Pushpak Bhattacharyya:
Multilingual Machine Translation Systems at WAT 2021: One-to-Many and Many-to-One Transformer based NMT. WAT@ACL/IJCNLP 2021: 233-237 - [c4]Aakash Banerjee, Aditya Jain, Shivam Mhaskar, Sourabh Dattatray Deoghare, Aman Sehgal, Pushpak Bhattacharya:
Neural Machine Translation in Low-Resource Setting: a Case Study in English-Marathi Pair. MTSummit (1) 2021: 35-47 - [i2]Manish Pathak, Aditya Jain:
Solving Fashion Recommendation - The Farfetch Challenge. CoRR abs/2108.01314 (2021) - 2020
- [i1]Aditya Jain, Manish Ravula, Joydeep Ghosh:
Biased Models Have Biased Explanations. CoRR abs/2012.10986 (2020)
2010 – 2019
- 2019
- [c3]Aditya Jain, Hardeep Singh, Riby Abraham Boby, Subir Kumar Saha, Swagat Kumar, Sumantra Dutta Roy:
Repeatability measurement and kinematic identification of LBR iiwa 7 R800 using monocular camera. AIR 2019: 23:1-23:6 - [c2]Aditya Jain, Zerina Kapetanovic, Akshit Kumar, Vasuki Narasimha Swamy, Rohit Patil, Deepak Vasisht, Rahul Sharma, Manohar Swaminathan, Ranveer Chandra, Anirudh Badam, Gireeja Ranade, Sudipta N. Sinha, Akshay Uttama Nambi:
Low-cost aerial imaging for small holder farmers. COMPASS 2019: 41-51 - 2018
- [j4]Aditya Jain:
Responding to Shipment Delays: The Roles of Operational Flexibility & Lead-Time Visibility. Decis. Sci. 49(2): 306-334 (2018) - [j3]Aditya Jain, Ram Bala:
Differentiated or integrated: Capacity and service level choice for differentiated products. Eur. J. Oper. Res. 266(3): 1025-1037 (2018) - 2015
- [j2]Aditya Jain, Nils Rudi, Tong Wang:
Demand Estimation and Ordering Under Censoring: Stock-Out Timing Is (Almost) All You Need. Oper. Res. 63(1): 134-150 (2015) - 2010
- [j1]Aditya Jain, Harry Groenevelt, Nils Rudi:
Continuous Review Inventory Model with Dynamic Choice of Two Freight Modes with Fixed Costs. Manuf. Serv. Oper. Manag. 12(1): 120-139 (2010)
2000 – 2009
- 2009
- [c1]Gend Lal Prajapati, Aditya Jain, Mayank Khandelwal, Pooja Nema, Priyanka Shukla:
On the Inference of Context-Free Grammars Based On Bottom-Up Parsing and Search. ICETET 2009: 979-984
Coauthor Index
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last updated on 2024-12-11 20:42 CET by the dblp team
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