Schwing, Alex

33 publications

NeurIPS 2025 CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Tsu-Jui Fu, Xinze Wang, Wei Liu, Yinfei Yang, Alex Schwing

ICLR 2025 LIFe-GoM: Generalizable Human Rendering with Learned Iterative Feedback over Multi-Resolution Gaussians-on-Mesh Jing Wen, Alex Schwing, Shenlong Wang

NeurIPS 2025 NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs Without Human Poses Jing Wen, Alex Schwing, Shenlong Wang

NeurIPS 2025 On Inductive Biases That Enable Generalization in Diffusion Transformers Jie An, De Wang, Pengsheng Guo, Jiebo Luo, Alex Schwing

NeurIPS 2025 REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders Savya Khosla, T V Sethuraman, Barnett Lee, Alex Schwing, Derek Hoiem

ICLR 2025 Towards Hierarchical Rectified Flow Yichi Zhang, Yici Yan, Alex Schwing, Zhizhen Zhao

ICML 2025 Variational Rectified Flow Matching Pengsheng Guo, Alex Schwing

ICLRW 2025 Variational Rectified Flow Matching Pengsheng Guo, Alex Schwing

ICML 2024 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan, Alex Schwing, Yu-Xiong Wang

ICLR 2024 Pseudo-Generalized Dynamic View Synthesis from a Video Xiaoming Zhao, R Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alex Schwing

ICLR 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes Saba Ghaffari, Ehsan Saleh, Alex Schwing, Yu-Xiong Wang, Martin D. Burke, Saurabh Sinha

NeurIPS 2023 A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories Kai Yan, Alex Schwing, Yu-Xiong Wang

ICLR 2023 Diffusion Probabilistic Fields Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua M. Susskind, Miguel Ángel Bautista

ICLR 2023 Learning to Decompose Visual Features with Latent Textual Prompts Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alex Schwing, Heng Ji

NeurIPSW 2023 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan, Alex Schwing, Yu-Xiong Wang

ICML 2023 Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh

NeurIPS 2022 CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan, Alex Schwing, Yu-Xiong Wang

NeurIPS 2022 DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang, Ruoyu Sun, Alex Schwing

NeurIPS 2022 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez, Teck-Yian Lim, Alex Schwing, Minh Do, Raymond A. Yeh

NeurIPS 2022 On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat, Yossi Adi, Alex Schwing, Tamir Hazan

NeurIPS 2021 A Contrastive Learning Approach for Training Variational Autoencoder Priors Jyoti Aneja, Alex Schwing, Jan Kautz, Arash Vahdat

NeurIPS 2021 Bridging the Imitation Gap by Adaptive Insubordination Luca Weihs, Unnat Jain, Iou-Jen Liu, Jordi Salvador, Svetlana Lazebnik, Aniruddha Kembhavi, Alex Schwing

NeurIPS 2021 Class-Agnostic Reconstruction of Dynamic Objects from Videos Zhongzheng Ren, Xiaoming Zhao, Alex Schwing

ICLR 2021 Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation Peiye Zhuang, Oluwasanmi O Koyejo, Alex Schwing

NeurIPS 2021 Per-Pixel Classification Is Not All You Need for Semantic Segmentation Bowen Cheng, Alex Schwing, Alexander Kirillov

NeurIPS 2021 Perceptual Score: What Data Modalities Does Your Model Perceive? Itai Gat, Idan Schwartz, Alex Schwing

NeurIPS 2016 Constraints Based Convex Belief Propagation Yaniv Tenzer, Alex Schwing, Kevin Gimpel, Tamir Hazan

NeurIPS 2016 Learning Deep Parsimonious Representations Renjie Liao, Alex Schwing, Richard Zemel, Raquel Urtasun

NeurIPS 2015 Smooth and Strong: MAP Inference with Linear Convergence Ofer Meshi, Mehrdad Mahdavi, Alex Schwing

NeurIPS 2014 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials Shenlong Wang, Alex Schwing, Raquel Urtasun

NeurIPS 2014 Message Passing Inference for Large Scale Graphical Models with High Order Potentials Jian Zhang, Alex Schwing, Raquel Urtasun

NeurIPS 2013 Latent Structured Active Learning Wenjie Luo, Alex Schwing, Raquel Urtasun

NeurIPS 2012 Globally Convergent Dual MAP LP Relaxation Solvers Using Fenchel-Young Margins Alex Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun