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ORCIDSiddhant Kumar
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2020 – today
- 2026
[c7]Hrusikesh Nishank
, Siddhant Kumar, Adarsh Singh Jadon, Chittaranjan Swain, Vivek Tiwari, Deepak Kumar Dewangan:
Scene-Aware Low-Light Image Enhancement using Multi-scale Image Restoration Network using Diverse Optimizers for Vision-Based Intelligent Transportation System. ICDCN Companion 2026: 66-71- [i26]Yaqi Guo, Fabian Braun, Bastiaan Ketelaar, Stephanie Tan, Richard Norte, Siddhant Kumar:
Local learning for stable backpropagation-free neural network training towards physical learning. CoRR abs/2603.24790 (2026) - 2025
- [i25]Saeid Ghouli, Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
A topology optimisation framework to design test specimens for one-shot identification or discovery of material models. CoRR abs/2501.12756 (2025) - [i24]Prakash Thakolkaran, Yaqi Guo, Shivam Saini, Mathias Peirlinck, Benjamin Alheit, Siddhant Kumar:
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs). CoRR abs/2503.05617 (2025) - [i23]Li Zheng, Siddhant Kumar, Dennis M. Kochmann:
DiffuMeta: Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers. CoRR abs/2507.15753 (2025) - [i22]Kanhaiya Lal Chaurasiya, Saurav Dutta, Siddhant Kumar, Akshay Joshi:
Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning. CoRR abs/2509.11784 (2025) - [i21]Benjamin Alheit, Mathias Peirlinck, Siddhant Kumar:
COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates. CoRR abs/2510.00884 (2025) - [i20]Rogier P. Krijnen, Akshay Joshi, Siddhant Kumar, Mathias Peirlinck:
Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study. CoRR abs/2510.09498 (2025) - [i19]Navodini Wijethilake, Marina Ivory, Oscar MacCormac, Siddhant Kumar, Aaron Kujawa, Lorena Garcia-Foncillas Macias, Rebecca Burger, Amanda Hitchings, Suki Thomson, Sinan Barazi, Eleni Maratos, Rupert Obholzer, Dan Jiang, Fiona McClenaghan, Kazumi Chia, Omar Al-Salihi, Nick Thomas, Steve Connor, Tom Vercauteren, Jonathan Shapey:
Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations. CoRR abs/2511.00472 (2025) - 2024
- [j3]Yaqi Guo, Saurav Sharma, Siddhant Kumar:
Inverse Designing Surface Curvatures by Deep Learning. Adv. Intell. Syst. 6(6) (2024) - [i18]Li Zheng, Dennis M. Kochmann, Siddhant Kumar:
HyperCAN: Hypernetwork-Driven Deep Parameterized Constitutive Models for Metamaterials. CoRR abs/2408.06017 (2024) - [i17]Prakash Thakolkaran, Yiwen Zheng, Yaqi Guo, Aniruddh Vashisth, Siddhant Kumar:
Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks. CoRR abs/2409.06457 (2024) - 2023
- [c6]Sudesh Kumar, Shersingh, Siddhant Kumar, Karan Verma:
Malware Classification Using Machine Learning Models. ICMLDE 2023: 1419-1428 - [i16]Moritz Flaschel, Huitian Yu, Nina Reiter, Jan Hinrichsen, Silvia Budday, Paul Steinmann, Siddhant Kumar, Laura De Lorenzis:
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID. CoRR abs/2305.16362 (2023) - [i15]Helge C. Hille, Siddhant Kumar, Laura De Lorenzis:
Enhanced Floating Isogeometric Analysis. CoRR abs/2306.07034 (2023) - [i14]Li Zheng, Siddhant Kumar, Dennis M. Kochmann:
Unifying the design space of truss metamaterials by generative modeling. CoRR abs/2306.14773 (2023) - [i13]Yaqi Guo, Saurav Sharma, Siddhant Kumar:
Inverse designing surface curvatures by deep learning. CoRR abs/2309.00163 (2023) - [i12]Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth:
Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling. CoRR abs/2312.03690 (2023) - [i11]Sai Kubair Kota, Siddhant Kumar, Bianca Giovanardi:
A discontinuous Galerkin / cohesive zone model approach for the computational modeling of fracture in geometrically exact slender beams. CoRR abs/2312.07349 (2023) - [i10]Prakash Thakolkaran, Michael A. Espinal, Somayajulu Dhulipala, Siddhant Kumar, Carlos M. Portela:
Experiment-informed finite-strain inverse design of spinodal metamaterials. CoRR abs/2312.11648 (2023) - 2022
- [j2]Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff:
Numerical Approaches for Investigating Quasiconvexity in the Context of Morrey's Conjecture. J. Nonlinear Sci. 32(6): 77 (2022) - [i9]Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff:
Numerical approaches for investigating quasiconvexity in the context of Morrey's conjecture. CoRR abs/2201.06392 (2022) - [i8]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Discovering plasticity models without stress data. CoRR abs/2202.04916 (2022) - [i7]Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar:
Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties. CoRR abs/2203.07422 (2022) - [i6]Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar:
NN-EUCLID: deep-learning hyperelasticity without stress data. CoRR abs/2205.06664 (2022) - [i5]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Automated discovery of generalized standard material models with EUCLID. CoRR abs/2211.04453 (2022) - 2021
- [c5]Siddhant Kumar, Bharat Singh Rajpurohit:
A Simple Short-Circuit Protection Scheme for Grid Connected Boost Converter using Output Voltage Characteristic. IAS 2021: 1-8 - [i4]Siddhant Kumar, Dennis M. Kochmann:
What machine learning can do for computational solid mechanics. CoRR abs/2109.08419 (2021) - [i3]Helge C. Hille, Siddhant Kumar, Laura De Lorenzis:
Floating Isogeometric Analysis. CoRR abs/2110.07355 (2021) - 2020
- [i2]Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis:
Unsupervised discovery of interpretable hyperelastic constitutive laws. CoRR abs/2010.13496 (2020) - [i1]Li Zheng, Siddhant Kumar, Dennis M. Kochmann:
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy. CoRR abs/2012.15744 (2020)
2010 – 2019
- 2019
- [j1]Akshi Kumar, Arunima Jaiswal, Shikhar Garg, Shobhit Verma, Siddhant Kumar:
Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets. Int. J. Inf. Retr. Res. 9(1): 1-15 (2019) - [c4]Dhaval Solanki, Siddhant Kumar, Pradeep Raj, Uttama Lahiri:
Body Weight Support Assisted Virtual Reality based Treadmill Walk with Gait Characterization. ICCCNT 2019: 1-7 - [c3]Siddhant Kumar, Gourav Chowdhary, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty:
gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture. iSES 2019: 53-56 - 2018
- [c2]Siddhant Kumar, Adil Usman:
A Review of Converter Topologies for Battery Charging Applications in Plug-in Hybrid Electric Vehicles. IAS 2018: 1-9 - [c1]Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam:
Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN 2018: 1-8
Coauthor Index
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