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06/05/2023
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Recent advances in large language model (LLM) pretraining have led to hi...
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05/30/2022
Neural Optimal Transport with General Cost Functionals
We present a novel neural-networks-based algorithm to compute optimal tr...
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01/28/2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein barycenters have become popular due to their ability to repr...
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03/11/2020
Deep Vectorization of Technical Drawings
We present a new method for vectorization of technical line drawings, su...
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12/13/2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing high-quality generative models for 3D shapes is a fundament...
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10/08/2019
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs
Learning useful representations is a key ingredient to the success of mo...
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10/08/2019
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs
Learning useful representations is a key ingredient to the success of mo...
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09/28/2019
Wasserstein-2 Generative Networks
Modern generative learning is mainly associated with Generative Adversar...
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12/24/2018