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← Authors

Alex Schwing

29 papers · 2012–2026 · 5 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (13)
πŸ—ΊοΈ Taxonomy Completionist (52) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (121) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

NIPS (17) ICLR (7) ICML (3) AAAI (1) ACL (1)

Top co-authors

Raquel Urtasun (5) Yu-Xiong Wang (4) Xiaoming Zhao (3) Kai Yan (3) Tamir Hazan (3) Miguel Angel Bautista (2) Itai Gat (2) Raymond A. Yeh (2) Peiye Zhuang (2) Shenlong Wang (2)

Keywords

3d reconstruction (3) graphical model (3) markov random field (3) semantic segmentation (3) imitation learning (2) map inference (2) linear programming relaxation (2) reinforcement learning (2) message passing (2) contrastive learning (1) offline reinforcement learning (1) active learning (1) semidefinite programming (1) convex optimization (1) feature learning (1) object detection (1) image classification (1) uncertainty quantification (1) probabilistic inference (1) zero-shot learning (1)

Papers

Studying Classifier(-Free) Guidance from a Classifier-Centric Perspective AAAI 2026 Towards Hierarchical Rectified Flow ICLR 2025 LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback Over Multi-Resolution Gaussians-on-Mesh ICLR 2025 Variational Rectified Flow Matching ICML 2025 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching ICML 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes ICLR 2024 Pseudo-Generalized Dynamic View Synthesis from a Video ICLR 2024 Learning to Decompose Visual Features with Latent Textual Prompts ICLR 2023 Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction ICML 2023 Diffusion Probabilistic Fields ICLR 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NIPS 2023 DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data NIPS 2022 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations NIPS 2022 On the Importance of Gradient Norm in PAC-Bayesian Bounds NIPS 2022 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks NIPS 2022 CoVA: Context-aware Visual Attention for Webpage Information Extraction ACL 2022 Perceptual Score: What Data Modalities Does Your Model Perceive? NIPS 2021 Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation ICLR 2021 Bridging the Imitation Gap by Adaptive Insubordination NIPS 2021 Per-Pixel Classification is Not All You Need for Semantic Segmentation NIPS 2021 Class-agnostic Reconstruction of Dynamic Objects from Videos NIPS 2021 A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021 Learning Deep Parsimonious Representations NIPS 2016 Constraints Based Convex Belief Propagation NIPS 2016 Smooth and Strong: MAP Inference with Linear Convergence NIPS 2015 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NIPS 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials NIPS 2014 Latent Structured Active Learning NIPS 2013 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012