Ruiqi Gao

Identifiers

• name variant Ruiqi Gao 0.60 · backfill

Papers (45)

1. ZipMap: Linear-Time Stateful 3D Reconstruction via Test-Time Training cs.CV · 2026 · author #4
2. Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer cs.RO · 2025 · author #47
3. SceneCrafter: Controllable Multi-View Driving Scene Editing cs.CV · 2025 · author #9
4. SimVS: Simulating World Inconsistencies for Robust View Synthesis cs.CV · 2024 · author #7
5. CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models cs.CV · 2024 · author #2
6. Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion cs.CV · 2024 · author #5
7. Think Twice Before You Act: Improving Inverse Problem Solving With MCMC stat.ML · 2024 · author #6
8. Generative Hierarchical Materials Search cond-mat.mtrl-sci · 2024 · author #3
9. Large Language Models are Limited in Out-of-Context Knowledge Reasoning cs.CL · 2024 · author #3
10. On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding q-bio.NC · 2024 · author #2
11. EM Distillation for One-step Diffusion Models cs.LG · 2024 · author #9
12. "Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood cs.LG · 2024 · author #10
13. CoLay: Controllable Layout Generation through Multi-conditional Latent Diffusion cs.HC · 2024 · author #2
14. CAT3D: Create Anything in 3D with Multi-View Diffusion Models cs.CV · 2024 · author #1
15. Enhanced Deep Potential Model for Fast and Accurate Molecular Dynamics; Application to the Hydrated Electron physics.comp-ph · 2024 · author #1
16. MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space cs.CV · 2024 · author #6
17. ReconFusion: 3D Reconstruction with Diffusion Priors cs.CV · 2023 · author #5
18. Emergence of Grid-like Representations by Training Recurrent Networks with Conformal Normalization q-bio.NC · 2023 · author #2
19. Learning Energy-Based Prior Model with Diffusion-Amortized MCMC cs.LG · 2023 · author #5
20. Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood stat.ML · 2023 · author #4
21. Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation cs.LG · 2023 · author #2
22. On Distillation of Guided Diffusion Models cs.CV · 2022 · author #3
23. Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells q-bio.NC · 2022 · author #2
24. Imagen Video: High Definition Video Generation with Diffusion Models cs.CV · 2022 · author #5
25. Latent Diffusion Energy-Based Model for Interpretable Text Modeling cs.LG · 2022 · author #6
26. Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis cs.CV · 2021 · author #2
27. A Theory of Label Propagation for Subpopulation Shift cs.LG · 2021 · author #2
28. Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis cs.CV · 2020 · author #3
29. Learning Energy-Based Models by Diffusion Recovery Likelihood cs.LG · 2020 · author #1
30. Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot cs.LG · 2020 · author #5
31. On Path Integration of Grid Cells: Group Representation and Isotropic Scaling q-bio.NC · 2020 · author #1
32. MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC stat.ML · 2020 · author #2
33. Flow Contrastive Estimation of Energy-Based Models stat.ML · 2019 · author #1
34. Representation Learning: A Statistical Perspective stat.ML · 2019 · author #2
35. Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns cs.CV · 2019 · author #2
36. Convergence of Adversarial Training in Overparametrized Neural Networks cs.LG · 2019 · author #1
37. Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems cs.LG · 2019 · author #2
38. Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion cs.NE · 2019 · author #1
39. Learning Dynamic Generator Model by Alternating Back-Propagation Through Time stat.ML · 2018 · author #2
40. Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion stat.ML · 2018 · author #1
41. A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models stat.ML · 2018 · author #2
42. Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry cs.LG · 2018 · author #2
43. Learning Descriptor Networks for 3D Shape Synthesis and Analysis cs.CV · 2018 · author #3
44. Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling stat.ML · 2017 · author #1
45. Cooperative Training of Descriptor and Generator Networks stat.ML · 2016 · author #3

Mentions

• 2506.19488 #9 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2410.19324 #5 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2405.16865 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2411.18613 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2412.07696 #7 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2405.16852 #9 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2309.05153 #4 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2406.07393 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2409.08551 #6 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2409.06762 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2405.13045 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2404.04370 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2404.01296 #6 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2310.19192 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2312.02981 #5 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1806.06298 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2310.03218 #5 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2206.05895 #6 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2303.00848 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2210.03142 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2210.02684 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2210.02303 #5 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1902.03871 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2006.06897 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2006.10259 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2102.11203 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2104.01508 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2012.08125 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2012.13522 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2009.11094 #5 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1709.08868 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1912.00589 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1911.11374 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1911.11294 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1906.07916 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1905.11675 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1810.05597 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1812.10587 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1810.04261 #2 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1609.09408 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 1804.00586 #3 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2405.10314 #1 · arxiv_oai · confidence 0.70 Ruiqi Gao
• 2510.03342 #47 · arxiv_oai · confidence 0.70 Ruiqi Gao

Frequent Coauthors

• Ying Nian Wu 24 shared papers
• Song-Chun Zhu 16 shared papers
• Jianwen Xie 11 shared papers
• Ben Poole 7 shared papers
• Aleksander Holynski 5 shared papers
• Diederik P. Kingma 5 shared papers
• Jonathan T. Barron 5 shared papers
• Rundi Wu 4 shared papers
• Sirui Xie 4 shared papers
• Tianle Cai 4 shared papers
• Tim Salimans 4 shared papers
• Xue-Xin Wei 4 shared papers
• Yaxuan Zhu 4 shared papers
• Zilong Zheng 4 shared papers
• Dehong Xu 3 shared papers
• Erik Nijkamp 3 shared papers
• Jason D. Lee 3 shared papers
• Liwei Wang 3 shared papers
• Peiyu Yu 3 shared papers
• Philipp Henzler 3 shared papers