Kayhan Batmanghelich

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MIT ∙ University of Pittsburgh

Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

Vessel segmenting is an essential task in many clinical applications. Al...
01/13/2021 ∙ by Rohit Jena, et al. ∙ 16 ∙ share

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Explaining the Black-box Smoothly- A Counterfactual Approach

We propose a BlackBox Counterfactual Explainer that is explicitly develo...
01/11/2021 ∙ by Sumedha Singla, et al. ∙ 31 ∙ share

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Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Learning accurate drug representation is essential for tasks such as com...
06/01/2020 ∙ by Ke Yu, et al. ∙ 69 ∙ share

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Explanation by Progressive Exaggeration

As machine learning methods see greater adoption and implementation in h...
11/01/2019 ∙ by Sumedha Singla, et al. ∙ 21 ∙ share

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Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement

Recent work by Locatello et al. (2018) has shown that an inductive bias ...
10/14/2019 ∙ by Junxiang Chen, et al. ∙ 0 ∙ share

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Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

Majority of state-of-the-art monocular depth estimation methods are supe...
07/16/2019 ∙ by Yipeng Mou, et al. ∙ 1 ∙ share

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Twin Auxiliary Classifiers GAN

Conditional generative models enjoy remarkable progress over the past fe...
07/05/2019 ∙ by Mingming Gong, et al. ∙ 2 ∙ share

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Weakly Supervised Disentanglement by Pairwise Similarities

Recently, researches related to unsupervised disentanglement learning wi...
06/03/2019 ∙ by Junxiang Chen, et al. ∙ 0 ∙ share

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Generative-Discriminative Complementary Learning

Majority of state-of-the-art deep learning methods for vision applicatio...
04/02/2019 ∙ by Yanwu Xu, et al. ∙ 0 ∙ share

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Robust Angular Local Descriptor Learning

In recent years, the learned local descriptors have outperformed handcra...
01/21/2019 ∙ by Yanwu Xu, et al. ∙ 0 ∙ share

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Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...
11/05/2018 ∙ by Spyridon Bakas, et al. ∙ 0 ∙ share

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Deep Diffeomorphic Normalizing Flows

The Normalizing Flow (NF) models a general probability density by estima...
10/08/2018 ∙ by Hadi Salman, et al. ∙ 6 ∙ share

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Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping

Unsupervised domain mapping aims at learning a function to translate dom...
09/16/2018 ∙ by Huan Fu, et al. ∙ 2 ∙ share

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Deep Ordinal Regression Network for Monocular Depth Estimation

Monocular depth estimation, which plays a crucial role in understanding ...
06/06/2018 ∙ by Huan Fu, et al. ∙ 0 ∙ share

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Causal Generative Domain Adaptation Networks

We propose a new generative model for domain adaptation, in which traini...
04/12/2018 ∙ by Mingming Gong, et al. ∙ 0 ∙ share

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Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

Measurement error in the observed values of the variables can greatly ch...
06/10/2017 ∙ by Kun Zhang, et al. ∙ 0 ∙ share

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Nonparametric Spherical Topic Modeling with Word Embeddings

Traditional topic models do not account for semantic regularities in lan...
04/01/2016 ∙ by Kayhan Batmanghelich, et al. ∙ 0 ∙ share

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Kayhan Batmanghelich

Featured Co-authors

Dacheng Tao

Wei Chen

Chang Liu

Qian Wang

Yu Sun

Kurt Keutzer

Kun Zhang

Sébastien Ourselin

Tongliang Liu

Chunyuan Li

Yefeng Zheng

Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

Explaining the Black-box Smoothly- A Counterfactual Approach

Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space

Explanation by Progressive Exaggeration

Robust Ordinal VAE: Employing Noisy Pairwise Comparisons for Disentanglement

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

Twin Auxiliary Classifiers GAN

Weakly Supervised Disentanglement by Pairwise Similarities

Generative-Discriminative Complementary Learning

Robust Angular Local Descriptor Learning

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Deep Diffeomorphic Normalizing Flows

Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping

Deep Ordinal Regression Network for Monocular Depth Estimation

Causal Generative Domain Adaptation Networks

Causal Discovery in the Presence of Measurement Error: Identifiability Conditions

Nonparametric Spherical Topic Modeling with Word Embeddings