Alex Schwing
29 papers · 2012–2026 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Alex Schwing?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Raquel Urtasun, Tamir Hazan, Shenlong Wang
9 papers
· 2012–2025
· NeurIPS, ICLR
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LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh
ICLR 2025
On the Importance of Gradient Norm in PAC-Bayesian Bounds
NeurIPS 2022
Perceptual Score: What Data Modalities Does Your Model Perceive?
NeurIPS 2021
Constraints Based Convex Belief Propagation
NeurIPS 2016
Learning Deep Parsimonious Representations
NeurIPS 2016
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
NeurIPS 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
NeurIPS 2014
Latent Structured Active Learning
NeurIPS 2013
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
NeurIPS 2012
9 papers whose co-authors appear nowhere else under this name
Towards Hierarchical Rectified Flow
ICLR 2025
Variational Rectified Flow Matching
ICML 2025
Learning to Decompose Visual Features with Latent Textual Prompts
ICLR 2023
CoVA: Context-aware Visual Attention for Webpage Information Extraction
ACL 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
NeurIPS 2022
A Contrastive Learning Approach for Training Variational Autoencoder Priors
NeurIPS 2021
Bridging the Imitation Gap by Adaptive Insubordination
NeurIPS 2021
Per-Pixel Classification is Not All You Need for Semantic Segmentation
NeurIPS 2021
Smooth and Strong: MAP Inference with Linear Convergence
NeurIPS 2015