"mode collapse" Papers
11 papers found
Conference
Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis
Yanzuo Lu, Yuxi Ren, Xin Xia et al.
ICCV 2025highlightarXiv:2507.18569
14
citations
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
NEURIPS 2025oral
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
Liwei Jiang, Yuanjun Chai, Margaret Li et al.
NEURIPS 2025oralarXiv:2510.22954
16
citations
A solvable model of learning generative diffusion: theory and insights
Hugo Cui, Cengiz Pehlevan, Yue Lu
NEURIPS 2025arXiv:2501.03937
5
citations
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
Joshua Kazdan, Hao Sun, Jiaqi Han et al.
ICLR 2025arXiv:2409.07025
2
citations
On scalable and efficient training of diffusion samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo et al.
NEURIPS 2025arXiv:2505.19552
6
citations
Repulsive Latent Score Distillation for Solving Inverse Problems
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
ICLR 2025arXiv:2406.16683
13
citations
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
Makoto Shing, Kou Misaki, Han Bao et al.
ICLR 2025oralarXiv:2501.16937
13
citations
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
ICML 2024arXiv:2402.01195
7
citations
Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Tran, Minh N. Hoang Luu, Phong Nguyen et al.
ECCV 2024arXiv:2312.02192
1
citations
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
Yanru Qu, Keyue Qiu, Yuxuan Song et al.
ICML 2024arXiv:2404.12141
52
citations