ICML 2023 Workshop SPIGM Submissions

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Siyan Zhao, Aditya Grover
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping
Jiatao Gu, Shuangfei Zhai, Yizhe Zhang, Lingjie Liu, Joshua M. Susskind
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
Diffusion Probabilistic Models Generalize when They Fail to Memorize
TaeHo Yoon, Joo Young Choi, Sehyun Kwon, Ernest K. Ryu
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh, Simona Vegetti, Nils Thuerey
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Attention as Implicit Structural Inference
Ryan Singh, Christopher Buckley
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Prediction under Latent Subgroup Shifts with High-dimensional Observations
William I Walker, Arthur Gretton, Maneesh Sahani
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
Diffusion Based Causal Representation Learning
Amir Mohammad Karimi Mamaghan, Andrea Dittadi, Stefan Bauer, Francesco Quinzan
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Provable benefits of score matching
Chirag Pabbaraju, Dhruv Rohatgi, Anish Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Nested Diffusion Processes for Anytime Image Generation
Noam Elata, Bahjat Kawar, Tomer Michaeli, Michael Elad
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Training Diffusion Models with Reinforcement Learning
Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Generating Turn-Based Player Behavior via Experience from Demonstrations
Kuang-Da Wang, Wei-Yao Wang, Ping-Chun Hsieh, Wen-Chih Peng
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
Waïss Azizian, Guillaume Baudart, Marc Lelarge
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Collaborative Score Distillation for Consistent Visual Synthesis
Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference
Sarthak Mittal, Niels Leif Bracher, Guillaume Lajoie, Priyank Jaini, Marcus A Brubaker
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks
Balhae Kim, Hyungi Lee, Juho Lee
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Beyond Intuition, a Framework for Applying GPs to Real-World Data
Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex Gardner, S. T. John, Hong Ge, Richard E Turner
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Identifying Under-Reported Events in Networks with Spatial Latent Variable Models
Gabriel Agostini, Emma Pierson, Nikhil Garg
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Generative Marginalization Models
Sulin Liu, Peter Ramadge, Ryan P Adams
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
Early Exiting for Accelerated Inference in Diffusion Models
Taehong Moon, Moonseok Choi, EungGu Yun, Jongmin Yoon, Gayoung Lee, Juho Lee
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
MissDiff: Training Diffusion Models on Tabular Data with Missing Values
Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
Kevin Kasa, Graham W. Taylor
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
CM-GAN: Stabilizing GAN Training with Consistency Models
Haoye Lu, Yiwei Lu, Dihong Jiang, Spencer Ryan Szabados, Sun Sun, Yaoliang Yu
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Flow Matching for Scalable Simulation-Based Inference
Jonas Bernhard Wildberger, Maximilian Dax, Simon Buchholz, Stephen R Green, Jakob H. Macke, Bernhard Schölkopf
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone