Ritambhara Singh

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Sequence Classification

Gene Expression

Chest Radiographs

Top Venues

J. Comput. Biol.

Publications

Michal Golovanevsky, William Rudman, Vedant Palit, Ritambhara Singh, Carsten Eickhoff
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation. CoRR (2024)
Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang
On the Effect of Image Resolution on Semantic Segmentation. CoRR (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Retrieval Augmented Zero-Shot Text Classification. CoRR (2024)
Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. AISTATS (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Retrieval Augmented Zero-Shot Text Classification. ICTIR (2024)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-optimal Transport. AAAI (2023)
Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff
One-Versus-Others Attention: Scalable Multimodal Integration. CoRR (2023)
Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh
Revisiting invariances and introducing priors in Gromov-Wasserstein distances. CoRR (2023)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-Optimal Transport. CoRR (2022)
Pinar Demetci, Rebecca Santorella, Björn Sandstede, William Stafford Noble, Ritambhara Singh
Single-Cell Multiomics Integration by SCOT. J. Comput. Biol. 29 (1) (2022)
Pinar Demetci, Rebecca Santorella, Björn Sandstede, William Stafford Noble, Ritambhara Singh
SCOT: Single-Cell Multi-Omics Alignment with Optimal Transport. J. Comput. Biol. 29 (1) (2022)
Jeremy Bigness, Xavier Loinaz, Shalin Patel, Erica Larschan, Ritambhara Singh
Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks. J. Comput. Biol. 29 (5) (2022)
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
Multimodal attention-based deep learning for Alzheimer's disease diagnosis. J. Am. Medical Informatics Assoc. 29 (12) (2022)
Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis. CoRR (2022)
Pinar Demetci, Rebecca Santorella, Manav Chakravarthy, Björn Sandstede, Ritambhara Singh
SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation. J. Comput. Biol. 29 (11) (2022)
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison Bai
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022)
Pinar Demetci, Rebecca Santorella, Björn Sandstede, Ritambhara Singh
Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation. RECOMB (2022)
Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Ashley Mae Conard, Nathaniel Goodman, Yanhui Hu, Norbert Perrimon, Ritambhara Singh, Charles Lawrence, Erica Larschan
TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data. Nucleic Acids Res. 49 (Webserver-Issue) (2021)
Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. CoRR (2021)
Ritambhara Singh, Pinar Demetci, Giancarlo Bonora, Vijay Ramani, Choli Lee, He Fang, Zhi-jun Duan, Xinxian Deng, Jay Shendure, Christine Disteche, William Stafford Noble
Unsupervised manifold alignment for single-cell multi-omics data. BCB (2020)
Camillo Saueressig, Adam Berkley, Elliot Kang, Reshma Munbodh, Ritambhara Singh
Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation. DataMod@CIKM (2020)
Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble
Jointly Embedding Multiple Single-Cell Omics Measurements. WABI (2019)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. CoRR (2018)
Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. Bioinform. 34 (17) (2018)
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR (2017)
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) (2017)
Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS (2017)
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB (2017)
Jack Lanchantin, Ritambhara Singh, Yanjun Qi
Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) (2017)
Beilun Wang, Ritambhara Singh, Yanjun Qi
A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models. Mach. Learn. 106 (9-10) (2017)
Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR (2017)
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi
GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR (2017)
Jack Lanchantin, Ritambhara Singh, Yanjun Qi
Memory Matching Networks for Genomic Sequence Classification. CoRR (2017)
Beilun Wang, Ritambhara Singh, Yanjun Qi
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR (2016)
Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR (2016)
Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. 32 (17) (2016)
Ritambhara Singh, Yanjun Qi
Character based String Kernels for Bio-Entity Relation Detection. BioNLP@ACL (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR (2016)
Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi
DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR (2016)