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Chopra, Ayush
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1

Using neural networks to calibrate agent based models enabl..:

Chopra, Ayush ; Rodriguez, Alexander ; Prakash, B. Aditya..
Vaccine.  41 (2023)  48 - p. 7067-7071 , 2023
Link: https://doi.org/10.1016/..
 
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2

Gradient-Assisted Calibration for Financial Agent-Based Mod..:

, In: Proceedings of the Fourth ACM International Conference on AI in Finance,
Dyer, Joel ; Quera-Bofarull, Arnau ; Chopra, Ayush... - p. 288-296 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Decouple-and-Sample: Protecting Sensitive Information in Ta..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Singh, Abhishek ; Garza, Ethan ; Chopra, Ayush... - p. 499-517 , 2022
Link: https://doi.org/10.1007/..
 
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4

Learning to Censor by Noisy Sampling:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Chopra, Ayush ; Java, Abhinav ; Singh, Abhishek.. - p. 378-395 , 2022
Link: https://doi.org/10.1007/..
 
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5

SAC: Semantic Attention Composition for Text-Conditioned Im..:

, In: 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Jandial, Surgan ; Badjatiya, Pinkesh ; Chawla, Pranit... - p. 597-606 , 2022
Link: https://doi.org/10.1109/..
 
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6

DeepABM: Scalable and Efficient Agent-Based Simulations Via..:

, In: 2021 Winter Simulation Conference (WSC),
Chopra, Ayush ; Raskar, Ramesh ; Subramanian, Jayakumar... - p. 1-12 , 2021
Link: https://doi.org/10.1109/..
 
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7

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D P..:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
Chopra, Ayush ; Jain, Rishabh ; Hemani, Mayur. - p. 5413-5422 , 2021
Link: https://doi.org/10.1109/..
 
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8

Public health impact of delaying second dose of BNT162b2 or..:

Romero-Brufau, Santiago ; Chopra, Ayush ; Ryu, Alex J...
BMJ.  , 2021
Link: https://doi.org/10.1136/..
 
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9

DeepABM : scalable and efficient agent-based simulations..:

, In: Proceedings of the Winter Simulation Conference,
Chopra, Ayush ; Raskar, Ramesh ; Gel, Esma S.... - p. 1-12 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Retrospective Loss: Looking Back to Improve Training of Dee..:

, In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Jandial, Surgan ; Chopra, Ayush ; Sarkar, Mausoom... - p. 1123-1131 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

MixBoost: Synthetic Oversampling using Boosted Mixup for Ha..:

, In: 2020 IEEE International Conference on Data Mining (ICDM),
Kabra, Anubha ; Chopra, Ayush ; Puri, Nikaash... - p. 1082-1087 , 2020
Link: https://doi.org/10.1109/..
 
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12

SieveNet: A Unified Framework for Robust Image-Based Virtua..:

, In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV),
Jandial, Surgan ; Chopra, Ayush ; Ayush, Kumar... - p. 2171-2179 , 2020
Link: https://doi.org/10.1109/..
 
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13

Towards a Unified Framework for Visual Compatibility Predic..:

, In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV),
Singhal, Anirudh ; Chopra, Ayush ; Ayush, Kumar.. - p. 3596-3605 , 2020
Link: https://doi.org/10.1109/..
 
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14

Robust Cloth Warping via Multi-Scale Patch Adversarial Loss..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Ayush, Kumar ; Jandial, Surgan ; Chopra, Ayush.. - p. 1279-1281 , 2019
Link: https://doi.org/10.1109/..
 
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15

Powering Virtual Try-On via Auxiliary Human Segmentation Le..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Ayush, Kumar ; Jandial, Surgan ; Chopra, Ayush. - p. 3193-3196 , 2019
Link: https://doi.org/10.1109/..
 
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