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ORCIDRitambhara Singh
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2020 – today
- 2024
[c13]Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh:
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. AISTATS 2024: 298-306- [c12]Tassallah Abdullahi
, Ritambhara Singh, Carsten Eickhoff:
Retrieval Augmented Zero-Shot Text Classification. ICTIR 2024: 195-203 - [i18]Ritambhara Singh, Abhishek Jain, Pietro Perona, Shivani Agarwal, Junfeng Yang:
On the Effect of Image Resolution on Semantic Segmentation. CoRR abs/2402.05398 (2024) - [i17]Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff:
Retrieval Augmented Zero-Shot Text Classification. CoRR abs/2406.15241 (2024) - [i16]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 abs/2406.16320 (2024) - 2023
- [c11]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-optimal Transport. AAAI 2023: 10006-10016 - [i15]Michal Golovanevsky, Eva Schiller, Akira Nair, Ritambhara Singh, Carsten Eickhoff:
One-Versus-Others Attention: Scalable Multimodal Integration. CoRR abs/2307.05435 (2023) - [i14]Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh:
Revisiting invariances and introducing priors in Gromov-Wasserstein distances. CoRR abs/2307.10093 (2023) - 2022
- [j11]Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh:
Multimodal attention-based deep learning for Alzheimer's disease diagnosis. J. Am. Medical Informatics Assoc. 29(12): 2014-2022 (2022) - [j10]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): 3-18 (2022) - [j9]Pinar Demetci, Rebecca Santorella, Björn Sandstede, William Stafford Noble, Ritambhara Singh:
Single-Cell Multiomics Integration by SCOT. J. Comput. Biol. 29(1): 19-22 (2022) - [j8]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): 409-424 (2022) - [j7]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): 1213-1228 (2022) - [j6]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) - [c10]Pinar Demetci, Rebecca Santorella, Björn Sandstede, Ritambhara Singh:
Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation. RECOMB 2022: 3-19 - [i13]Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh:
Unbalanced CO-Optimal Transport. CoRR abs/2205.14923 (2022) - [i12]Michal Golovanevsky, Carsten Eickhoff, Ritambhara Singh:
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis. CoRR abs/2206.08826 (2022) - 2021
- [j5]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): 641-653 (2021) - [c9]Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh:
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 356-365 - [i11]Camillo Saueressig, Adam Berkley, Reshma Munbodh, Ritambhara Singh:
A Joint Graph and Image Convolution Network for Automatic Brain Tumor Segmentation. CoRR abs/2109.05580 (2021) - 2020
- [c8]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: 40:1-40:10 - [c7]Camillo Saueressig, Adam Berkley, Elliot Kang, Reshma Munbodh, Ritambhara Singh:
Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation. DataMod@CIKM 2020: 18-37
2010 – 2019
- 2019
- [j4]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): 1524-1536 (2019) - [c6]Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble:
Jointly Embedding Multiple Single-Cell Omics Measurements. WABI 2019: 10:1-10:13 - 2018
- [j3]Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. Bioinform. 34(17): i891-i900 (2018) - [i10]Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. CoRR abs/1807.03878 (2018) - 2017
- [j2]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): 1381-1417 (2017) - [c5]Jack Lanchantin, Ritambhara Singh, Yanjun Qi:
Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) 2017 - [c4]Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS 2017: 6785-6795 - [c3]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: 356-373 - [c2]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB 2017: 254-265 - [i9]Jack Lanchantin, Ritambhara Singh, Yanjun Qi:
Memory Matching Networks for Genomic Sequence Classification. CoRR abs/1702.06760 (2017) - [i8]Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi:
GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR abs/1704.07468 (2017) - [i7]Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR abs/1708.00339 (2017) - [i6]Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR abs/1710.11238 (2017) - 2016
- [j1]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. 32(17): 639-648 (2016) - [c1]Ritambhara Singh, Yanjun Qi:
Character based String Kernels for Bio-Entity Relation Detection. BioNLP@ACL 2016: 66-71 - [i5]Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi:
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR abs/1605.01133 (2016) - [i4]Beilun Wang, Ritambhara Singh, Yanjun Qi:
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR abs/1605.03468 (2016) - [i3]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR abs/1607.02078 (2016) - [i2]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR abs/1608.03644 (2016) - [i1]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR abs/1609.03490 (2016)
Coauthor Index
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