no code implementations • 7 Aug 2023 • Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang
Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge.
1 code implementation • 11 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.
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.
1 code implementation • 30 Oct 2021 • Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang
We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.
Ranked #3 on KG-to-Text Generation on EventNarrative
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.
Ranked #9 on Image Generation on STL-10
no code implementations • 18 Mar 2021 • Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, Daisy Zhe Wang
In particular, the task of temporal link prediction.
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.
Ranked #15 on Link Prediction on WN18RR
Inductive knowledge graph completion Inductive Link Prediction +1
1 code implementation • 11 Oct 2019 • Hyun Choi, Ali Sadeghian, Sergio Marconi, Ethan White, Daisy Zhe Wang
In this study tree species interaction and the response to climate in different ecological environments is observed by applying a joint species distribution model to different ecological domains in the United States.
Populations and Evolution
no code implementations • 30 Sep 2019 • Ali Sadeghian, Shervin Minaee, Ioannis Partalas, Xinxin Li, Daisy Zhe Wang, Brooke Cowan
We propose a neural network architecture for learning vector representations of hotels.
no code implementations • 20 Apr 2019 • Xiaofeng Zhou, Ali Sadeghian, Daisy Zhe Wang
To the best of our knowledge, our incremental rule mining system is the first that handles updates to web-scale knowledge bases.
no code implementations • 6 Apr 2019 • Ali Sadeghian, Deoksu Lim, Johan Karlsson, Jian Li
The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra.
1 code implementation • CVPR 2019 • Amir Sadeghian, Vineet Kosaraju, Ali Sadeghian, Noriaki Hirose, S. Hamid Rezatofighi, Silvio Savarese
Whereas, the social attention component aggregates information across the different agent interactions and extracts the most important trajectory information from the surrounding neighbors.
Ranked #4 on Trajectory Prediction on Stanford Drone (ADE (8/12) @K=5 metric)
no code implementations • 12 Jul 2013 • Bubacarr Bah, Ali Sadeghian, Volkan Cevher
We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows.