ICML 2023 Workshop SPIGM Submissions

Anomaly Detection in Networks via Score-Based Generative Models
Dmitrii Gavrilev, Evgeny Burnaev
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Brian L. Trippe, Luhuan Wu, Christian A. Naesseth, David Blei, John Patrick Cunningham
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Generative semi-supervised learning with a neural seq2seq noisy channel
Soroosh Mariooryad, Matt Shannon, Siyuan Ma, Tom Bagby, David Teh-Hwa Kao, Daisy Stanton, Eric Battenberg, RJ Skerry-Ryan
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
Chris Chinenye Emezue, Alexandre Drouin, Tristan Deleu, Stefan Bauer, Yoshua Bengio
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Conditional Graph Generation with Graph Principal Flow Network
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Deep Generative Clustering with Multimodal Variational Autoencoders
Emanuele Palumbo, Sonia Laguna, Daphné Chopard, Julia E Vogt
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Graph Neural Network Powered Bayesian Optimization for Large Molecular Spaces
Miles Wang-Henderson, Bartu Soyuer, Parnian Kassraie, Andreas Krause, Ilija Bogunovic
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
The Pairwise Prony Algorithm: Efficient Inference of Stochastic Block Models with Prescribed Subgraph Densities
Lee M. Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Plug-and-Play Controllable Graph Generation with Diffusion Models
Kartik Sharma, Srijan Kumar, Rakshit Trivedi
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
The Local Inconsistency Resolution Algorithm
Oliver Ethan Richardson
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman, Murat Kocaoglu
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Pretrained Language Models to Solve Graph Tasks in Natural Language
Frederik Wenkel, Guy Wolf, Boris Knyazev
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Non-Normal Diffusion Models
Henry Li
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
A Generative Model for Text Control in Minecraft (Abridged Version)
Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Visual Chain-of-Thought Diffusion Models
William Harvey, Frank Wood
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Collapsed Inference for Bayesian Deep Learning
Zhe Zeng, Guy Van den Broeck
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander Cong Li, Mihir Prabhudesai, Shivam Duggal, Ellis Langham Brown, Deepak Pathak
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Test-time Adaptation with Diffusion Models
Mihir Prabhudesai, Tsung-Wei Ke, Alexander Cong Li, Deepak Pathak, Katerina Fragkiadaki
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Implications of Gaussian process kernel mismatch for out-of-distribution data
Beau Coker, Finale Doshi-Velez
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Scaling Graphically Structured Diffusion Models
Christian Dietrich Weilbach, William Harvey, Hamed Shirzad, Frank Wood
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Diffusion map particle systems for generative modeling
Fengyi Li, Youssef Marzouk
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets
Nikhil Murali Vemgal, Elaine Lau, Doina Precup
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Nonparametric posterior normalizing flows
Evan Ott, Sinead Williamson
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone