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Found 5 papers, 3 papers with code
Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers
Understanding transition pathways between two meta-stable states of a molecular system is crucial to advance drug discovery and material design.
Non-backtracking Graph Neural Networks
In this work, we propose to resolve such a redundancy issue via the non-backtracking graph neural network (NBA-GNN) that updates a message without incorporating the message from the previously visited node.
Cross-modal transformers for infrared and visible image fusion
In this work, we propose a cross-modal transformer-based fusion (CMTFusion) algorithm for infrared and visible image fusion that captures global interactions by faithfully extracting complementary information from source images.
Diffusion Probabilistic Models for Structured Node Classification
This paper studies structured node classification on graphs, where the predictions should consider dependencies between the node labels.
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
