Search Results for author: Mohammadreza Armandpour

Found 11 papers, 7 papers with code

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

1 code implementation11 Apr 2023 Mohammadreza Armandpour, Ali Sadeghian, Huangjie Zheng, Amir Sadeghian, Mingyuan Zhou

Although text-to-image diffusion models have made significant strides in generating images from text, they are sometimes more inclined to generate images like the data on which the model was trained rather than the provided text.

Text to 3D

Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification

1 code implementation9 Sep 2022 Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova

Deep learning models achieve state-of-the art results in predicting blood glucose trajectories, with a wide range of architectures being proposed.

Uncertainty Quantification

Bayesian Graph Contrastive Learning

no code implementations15 Dec 2021 Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan

By learning distributional representations, we provide uncertainty estimates in downstream graph analytics tasks and increase the expressive power of the predictive model.

Contrastive Learning Self-Supervised Learning +1

Convex Polytope Trees and its Application to VAE

no code implementations NeurIPS 2021 Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou

The splitting function at each node of CPT is based on the logical disjunction of a community of differently weighted probabilistic linear decision-makers, which also geometrically corresponds to a convex polytope in the covariate space.

Deep Spatio-Temporal Wind Power Forecasting

1 code implementation29 Sep 2021 Jiangyuan Li, Mohammadreza Armandpour

In this paper, we develop a deep learning approach based on encoder-decoder structure.

Decoder

Partition-Guided GANs

1 code implementation CVPR 2021 Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou

We formulate two desired criteria for the space partitioner that aid the training of our mixture of generators: 1) to produce connected partitions and 2) provide a proxy of distance between partitions and data samples, along with a direction for reducing that distance.

Image Generation

Convex Polytope Trees

1 code implementation21 Oct 2020 Mohammadreza Armandpour, Mingyuan Zhou

The splitting function at each node of CPT is based on the logical disjunction of a community of differently weighted probabilistic linear decision-makers, which also geometrically corresponds to a convex polytope in the covariate space.

DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs

1 code implementation NeurIPS 2019 Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang

Despite the importance of inductive link prediction, most previous works focused on transductive link prediction and cannot manage previously unseen entities.

Inductive knowledge graph completion Inductive Link Prediction +1

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