Ritambhara Singh
Orcid: 0000-0002-7523-160X
According to our database1,
Ritambhara Singh authored at least 54 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling.
CoRR, April, 2026
Is There Knowledge Left to Extract? Evidence of Fragility in Medically Fine-Tuned Vision-Language Models.
CoRR, April, 2026
UbuntuGuard: A Culturally-Grounded Policy Benchmark for Equitable AI Safety in African Languages.
CoRR, January, 2026
The Persona Paradox: Medical Personas as Behavioral Priors in Clinical Language Models.
CoRR, January, 2026
CoRR, January, 2026
Identifying and timing patient outcomes in clinician notes using large language models.
Artif. Intell. Medicine, 2026
2025
PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset.
CoRR, July, 2025
CoRR, February, 2025
IEEE Trans. Comput. Biol. Bioinform., 2025
Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation.
PLoS Comput. Biol., 2025
Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.
PLoS Comput. Biol., 2025
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
scMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data.
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025
Extending Fairness in Single-Cell AI: Evaluating Age, Sex, and Ethnicity Bias with Synthetic Data Augmentation.
Proceedings of the 16th ACM International Conference on Bioinformatics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation.
CoRR, 2024
<tt> scNODE </tt>: generative model for temporal single cell transcriptomic data prediction.
Bioinform., 2024
scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression.
Bioinform., 2024
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
J. Comput. Biol., 2022
SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation.
J. Comput. Biol., 2022
Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks.
J. Comput. Biol., 2022
J. Am. Medical Informatics Assoc., 2022
Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation.
Proceedings of the Research in Computational Molecular Biology, 2022
2021
TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data.
Nucleic Acids Res., 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Proceedings of the From Data to Models and Back - 9th International Symposium, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019
2018
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.
Bioinform., 2018
2017
A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.
Mach. Learn., 2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.
CoRR, 2017
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.
CoRR, 2016
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
CoRR, 2016
Bioinform., 2016
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016