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Found 9 papers, 2 papers with code
Gradient-Free Classifier Guidance for Diffusion Model Sampling
Guided sampling methods, such as classifier guidance (CG) and classifier-free guidance (CFG), focus sampling in well-learned high-probability regions to generate images of high fidelity, but each has its limitations.
3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image
This paper introduces a novel pipeline to reconstruct the geometry of interacting multi-person in clothing on a globally coherent scene space from a single image.
TERRA: Beam Management for Outdoor mm-Wave Networks
To avoid outage in transient pedestrian blockage of the LoS path, the mobile uses reflected or NLoS path available in indoor environments.
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Meta reinforcement learning (Meta-RL) is an approach wherein the experience gained from solving a variety of tasks is distilled into a meta-policy.
Terra: Blockage Resilience in Outdoor mmWave Networks
This allows the mobile to maintain time-synchronization with the base station, allowing it to revert to the LoS path when the temporary blockage disappears.
Generalized Supervised Contrastive Learning
When applied to ResNet50 with the Momentum Contrast technique, GenSCL achieves a top-1 accuracy of 77. 3% on ImageNet, a 4. 1% relative improvement over traditional supervised contrastive learning.
Silent Tracker: In-band Beam Management for Soft Handover for mm-Wave Networks
In mm-wave networks, cell sizes are small due to high path and penetration losses.
Dirac Fast Scramblers
We introduce a family of Gross-Neveu-Yukawa models with a large number of fermion and boson flavors as higher dimensional generalizations of the Sachdev-Ye-Kitaev model.
Strongly Correlated Electrons High Energy Physics - Theory
Acquiring Axially-Symmetric Transparent Objects Using Single-View Transmission Imaging
We propose a novel, practical solution for high quality reconstruction of axially-symmetric transparent objects.
