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Ritambhara 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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last updated on 2024-08-23 19:23 CEST by the dblp team
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