Kumar Shubham

29 papers A* 2A 1B 3Journal 14Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Efficient Subset Selection Strategy Using Text-Guided Data Attribution to Mitigate Simplicity Bias.
Trans. Mach. Learn. Res.
Kumar Shubham, Pranav Sastry, Prathosh AP
2026 J jnl
Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms.
CoRR
Pavan Karjol, Kumar Shubham, Prathosh AP
2025 J jnl
MalaNet: A Small World Inspired Neural Network for Automated Malaria Diagnosis.
IEEE Trans. Artif. Intell.
Shubham Dwivedi, Kartikeya Pandey, Kumar Shubham, Om Jee Pandey, Achyut Mani Tripathi, Tushar Sandhan, Rajesh M. Hegde
2025 J jnl
Realization of Graphene Quantum Dots for Innovative Biosensor Development and Diverse Applications.
CoRR
Kumar Gautam, Kumar Shubham, Hitesh Sharma, Divya Punia, Ajay K. Sharma, Namisha Gupta, Varun Rathor, Vishakha Singh
2024 J jnl
Application of ANN for prediction of settlement of ring foundation.
Signal Image Video Process.
Dipendra Chandra Swarnkar, Akhileshwar Kumar Singh, Kumar Shubham
2024 A conf
Bayesian Pseudo-Coresets via Contrastive Divergence.
UAI
Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.
2024 A* conf
Fusing Conditional Submodular GAN and Programmatic Weak Supervision.
AAAI
Kumar Shubham, Pranav Sastry, Prathosh AP
2024 A* conf
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer.
ICML
Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan
2024 J jnl
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer.
CoRR
Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan
2023 J jnl
Constructing Bayesian Pseudo-Coresets using Contrastive Divergence.
CoRR
Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.
2023 J jnl
From low invasiveness to high control: how artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost.
Frontiers Comput. Sci.
Emmanuelle Patricia Kleinlogel, Laetitia A. Renier, Marianne Schmid Mast, Dinesh Babu Jayagopi, Kumar Shubham
2023 J jnl
Fusing Conditional Submodular GAN and Programmatic Weak Supervision.
CoRR
Kumar Shubham, Pranav Sastry, Prathosh AP
2023 J jnl
Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data.
Int. J. Artif. Intell. Tools
Kumar Shubham, Vivek Tiwari, Kuldip Singh Patel
2022 — conf
A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos.
ICVGIP
Swasti Shreya Mishra, Kumar Shubham, Dinesh Babu Jayagopi
2022 — conf
Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications.
AIVR
Kumar Shubham, Laxmi Narayen Nagarajan Venkatesan, Dinesh Babu Jayagopi, Raj Tumuluri
2022 — conf
One shot learning in StyleALAE: Preserving facial identity during semantic modification.
ICVGIP
Ravi Kiran Reddy Kotlo Budde, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan
2022 B conf
Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches.
ICMI
Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi
2022 — conf
Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents.
ICMI Companion
Jinal Hitesh Thakkar, Pooja Rao S. B., Kumar Shubham, Vaibhav Jain, Dinesh Babu Jayagopi
2021 — conf
A Multi Task Approach to Improve Face and Body Generation in Pose Transfer.
IVSP
Roopak Rastogi, Kumar Shubham, Dinesh Babu Jayagopi
2021 — conf
An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation.
ICMI Companion
Rahil Satyanarayan Vijay, Kumar Shubham, Laetitia Aurelie Renier, Emmanuelle Patricia Kleinlogel, Marianne Schmid Mast, Dinesh Babu Jayagopi
2021 B conf
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation.
IJCNN
Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan
2021 J jnl
One-shot domain adaptation for semantic face editing of real world images using StyleALAE.
CoRR
Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan
2021 — conf
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution.
CLEF (Working Notes)
Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei
2021 J jnl
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution.
CoRR
Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei
2020 B conf
Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries.
ICMI
Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anaïs Butera, Marianne Schmid Mast, Dinesh Babu Jayagopi
2020 J jnl
Enhancing Sensitivity of Fiber Bragg Grating-Based Temperature Sensors through Teflon Coating.
Wirel. Pers. Commun.
Dhanalakshmi Samiappan, A. V. S. Kesarikiran, Venkatesh Chakravartula, C. R. Uma Kumari, Kumar Shubham, Bolisetty Aakash, R. Kumar
2020 J jnl
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation.
CoRR
Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan
2007 — conf
A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing.
AWIC
Lipika Dey, Muhammad Abulaish, Rohit Goyal, Kumar Shubham
2006 — conf
Knowledge Discovery from Semi-Structured Data for Conceptual Organization.
IAT Workshops
Saurabh Gupta, Rohit Goyal, Kumar Shubham, Lipika Dey, A. Malik, Santanu Chaudhury, S. Bhattacharya