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Mayank Nagda
Mayank Nagda
其他姓名Mayank Kumar Nagda
Research Associate at RPTU Kaiserslautern-Landau
在 rhrk.uni-kl.de 的电子邮件经过验证 - 首页
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引用次数
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年份
Image classification using a hybrid LSTM-CNN deep neural network
Aditi, MK Nagda, E Poovammal
Int. J. Eng. Adv. Technol 8 (6), 1342-1348, 2019
262019
An augmented reality assisted order picking system using IoT
MK Nagda, S Sinha, E Poovammal
International Journal of Recent Technology and Engineering 8 (3), 744-749, 2019
102019
A call for standardization and validation of text style transfer evaluation
P Ostheimer, M Nagda, M Kloft, S Fellenz
arXiv preprint arXiv:2306.00539, 2023
52023
Text style transfer evaluation using large language models
P Ostheimer, M Nagda, M Kloft, S Fellenz
arXiv preprint arXiv:2308.13577, 2023
32023
Hanna: Hard-constraint neural network for consistent activity coefficient prediction
T Specht, M Nagda, S Fellenz, S Mandt, H Hasse, F Jirasek
arXiv preprint arXiv:2407.18011, 2024
12024
Evaluating dynamic topic models
C James, M Nagda, NH Ghassemi, M Kloft, S Fellenz
arXiv preprint arXiv:2309.08627, 2023
12023
Order Picking: A Survey of Methods and Problems.
S Sinha, MK Nagda, E Poovammal
International Journal of Psychosocial Rehabilitation 24 (1), 2020
12020
Enhancing Realism in Batch Distillation Simulations: Data-Efficient Time Series Style Transfer with Transformers
J Will, JAIJJ Werner, M Nagda, M Bortz, H Hasse, F Jirasek, J Schmid, ...
2024
PITs: Physics-Informed Transformers for Predicting Chemical Phenomena
M Nagda, P Ostheimer, T Specht, F Rhein, F Jirasek, M Kloft, S Fellenz
2024
Putting Back the Stops: Integrating Syntax with Neural Topic Models
M Nagda, S Fellenz
Proceedings of the 33rd International Joint Conference on Artificial …, 2024
2024
Hierarchical Topic Evaluation: Statistical vs. Neural Models
MK Nagda, C James, M Kloft, S Burkhardt
Bayesian Deep Learning Workshop, NeurIPS 2021, 2021
2021
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