Siddhant Kumar

36 papers B 1C 2Journal 29Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Local learning for stable backpropagation-free neural network training towards physical learning. CoRR Yaqi Guo, Fabian Braun, Bastiaan Ketelaar, Stephanie Tan, Richard Norte, Siddhant Kumar
2026	—	`conf`	Scene-Aware Low-Light Image Enhancement using Multi-scale Image Restoration Network using Diverse Optimizers for Vision-Based Intelligent Transportation System. ICDCN Companion Hrusikesh Nishank, Siddhant Kumar, Adarsh Singh Jadon, Chittaranjan Swain, Vivek Tiwari, Deepak Kumar Dewangan
2025	J	`jnl`	A topology optimisation framework to design test specimens for one-shot identification or discovery of material models. CoRR Saeid Ghouli, Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis
2025	J	`jnl`	COMMET: orders-of-magnitude speed-up in finite element method via batch-vectorized neural constitutive updates. CoRR Benjamin Alheit, Mathias Peirlinck, Siddhant Kumar
2025	J	`jnl`	Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs). CoRR Prakash Thakolkaran, Yaqi Guo, Shivam Saini, Mathias Peirlinck, Benjamin Alheit, Siddhant Kumar
2025	J	`jnl`	DiffuMeta: Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers. CoRR Li Zheng, Siddhant Kumar, Dennis M. Kochmann
2025	J	`jnl`	Hetero-EUCLID: Interpretable model discovery for heterogeneous hyperelastic materials using stress-unsupervised learning. CoRR Kanhaiya Lal Chaurasiya, Saurav Dutta, Siddhant Kumar, Akshay Joshi
2025	J	`jnl`	Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations. CoRR 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
2025	J	`jnl`	Unsupervised full-field Bayesian inference of orthotropic hyperelasticity from a single biaxial test: a myocardial case study. CoRR Rogier P. Krijnen, Akshay Joshi, Siddhant Kumar, Mathias Peirlinck
2024	J	`jnl`	Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks. CoRR Prakash Thakolkaran, Yiwen Zheng, Yaqi Guo, Aniruddh Vashisth, Siddhant Kumar
2024	J	`jnl`	HyperCAN: Hypernetwork-Driven Deep Parameterized Constitutive Models for Metamaterials. CoRR Li Zheng, Dennis M. Kochmann, Siddhant Kumar
2024	J	`jnl`	Inverse Designing Surface Curvatures by Deep Learning. Adv. Intell. Syst. Yaqi Guo, Saurav Sharma, Siddhant Kumar
2023	J	`jnl`	A discontinuous Galerkin / cohesive zone model approach for the computational modeling of fracture in geometrically exact slender beams. CoRR Sai Kubair Kota, Siddhant Kumar, Bianca Giovanardi
2023	J	`jnl`	Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID. CoRR Moritz Flaschel, Huitian Yu, Nina Reiter, Jan Hinrichsen, Silvia Budday, Paul Steinmann, Siddhant Kumar, Laura De Lorenzis
2023	J	`jnl`	Enhanced Floating Isogeometric Analysis. CoRR Helge C. Hille, Siddhant Kumar, Laura De Lorenzis
2023	J	`jnl`	Experiment-informed finite-strain inverse design of spinodal metamaterials. CoRR Prakash Thakolkaran, Michael A. Espinal, Somayajulu Dhulipala, Siddhant Kumar, Carlos M. Portela
2023	J	`jnl`	Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling. CoRR Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth
2023	J	`jnl`	Inverse designing surface curvatures by deep learning. CoRR Yaqi Guo, Saurav Sharma, Siddhant Kumar
2023	—	`conf`	Malware Classification Using Machine Learning Models. ICMLDE Sudesh Kumar, Shersingh, Siddhant Kumar, Karan Verma
2023	J	`jnl`	Unifying the design space of truss metamaterials by generative modeling. CoRR Li Zheng, Siddhant Kumar, Dennis M. Kochmann
2022	J	`jnl`	Automated discovery of generalized standard material models with EUCLID. CoRR Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis
2022	J	`jnl`	Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties. CoRR Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar
2022	J	`jnl`	Discovering plasticity models without stress data. CoRR Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis
2022	J	`jnl`	NN-EUCLID: deep-learning hyperelasticity without stress data. CoRR Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar
2022	J	`jnl`	Numerical Approaches for Investigating Quasiconvexity in the Context of Morrey's Conjecture. J. Nonlinear Sci. Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff
2022	J	`jnl`	Numerical approaches for investigating quasiconvexity in the context of Morrey's conjecture. CoRR Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff
2021	C	`conf`	A Simple Short-Circuit Protection Scheme for Grid Connected Boost Converter using Output Voltage Characteristic. IAS Siddhant Kumar, Bharat Singh Rajpurohit
2021	J	`jnl`	Floating Isogeometric Analysis. CoRR Helge C. Hille, Siddhant Kumar, Laura De Lorenzis
2021	J	`jnl`	What machine learning can do for computational solid mechanics. CoRR Siddhant Kumar, Dennis M. Kochmann
2020	J	`jnl`	Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy. CoRR Li Zheng, Siddhant Kumar, Dennis M. Kochmann
2020	J	`jnl`	Unsupervised discovery of interpretable hyperelastic constitutive laws. CoRR Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis
2019	—	`conf`	Body Weight Support Assisted Virtual Reality based Treadmill Walk with Gait Characterization. ICCCNT Dhaval Solanki, Siddhant Kumar, Pradeep Raj, Uttama Lahiri
2019	J	`jnl`	Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets. Int. J. Inf. Retr. Res. Akshi Kumar, Arunima Jaiswal, Shikhar Garg, Shobhit Verma, Siddhant Kumar
2019	—	`conf`	gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture. iSES Siddhant Kumar, Gourav Chowdhary, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty
2018	C	`conf`	A Review of Converter Topologies for Battery Charging Applications in Plug-in Hybrid Electric Vehicles. IAS Siddhant Kumar, Adil Usman
2018	B	`conf`	Association Learning based Hybrid Model for Cloud Workload Prediction. IJCNN Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam