ICML 2023 Workshop SPIGM Submissions

Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Kumar Ravikumar
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Identifiability of Discretized Latent Coordinate Systems via Density Landmarks Detection
Vitória Barin-Pacela, Kartik Ahuja, Simon Lacoste-Julien, Pascal Vincent
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Causal Discovery with Language Models as Imperfect Experts
Stephanie Long, Alexandre Piché, Valentina Zantedeschi, Tibor Schuster, Alexandre Drouin
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Fast and Functional structured data generator
Alessandra Carbone, Aurélien Decelle, Lorenzo Rosset, Beatriz Seoane
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Structured Neural Networks for Density Estimation
Asic Q Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G Krishnan
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Diffusion Generative Inverse Design
Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R Allen, Peter Battaglia, Arnaud Doucet, Kim Stachenfeld
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Tree Variational Autoencoders
Laura Manduchi, Moritz Vandenhirtz, Alain Ryser, Julia E Vogt
- Published: 28 Jul 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin, Huiyi Hu, Jie Ren, Michael W Dusenberry, Balaji Lakshminarayanan
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
STable Permutation-based Framework for Table Generation in Sequence-to-Sequence Models
Michał Pietruszka, Michał Turski, Łukasz Borchmann, Tomasz Dwojak, Gabriela Pałka, Karolina Szyndler, Dawid Jurkiewicz, Łukasz Garncarek
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Augmenting Control over Exploration Space in Molecular Dynamics Simulators to Streamline De Novo Analysis through Generative Control Policies
Paloma Gonzalez-Rojas, Gregory Rutledge
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Neuro-Causal Factor Analysis
Alex Markham, Mingyu Liu, Bryon Aragam, Liam Solus
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Autoregressive Diffusion Models with non-Uniform Generation Order
Filip Ekström Kelvinius, Fredrik Lindsten
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Variational Point Encoding Deformation for Dental Modeling
Johan Ziruo Ye, Thomas Ørkild, Peter Lempel Søndergard, Søren Hauberg
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani, Nick Pawlowski, Joel Jennings, Stefan Bauer, Cheng Zhang, Wenbo Gong
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Oral
- Readers: Everyone
On the Equivalence of Consistency-Type Models: Consistency Models, Consistent Diffusion Models, and Fokker-Planck Regularization
Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji, Stefano Ermon
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Uncovering Latent Structure Using Random Partition Models
Thomas M. Sutter, Alain Ryser, Joram Liebeskind, Julia E Vogt
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Improving Training of Likelihood-based Generative Models with Gaussian Homotopy
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Fit Like You Sample: Sample-Efficient Generalized Score Matching from Fast Mixing Markov Chains
Yilong Qin, Andrej Risteski
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Lexinvariant Language Models
Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
BatchGFN: Generative Flow Networks for Batch Active Learning
Shreshth A Malik, Salem Lahlou, Andrew Jesson, Moksh Jain, Nikolay Malkin, Tristan Deleu, Yoshua Bengio, Yarin Gal
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Balanced Training of Energy-Based Models with Adaptive Flow Sampling
Louis Grenioux, Eric Moulines, Marylou Gabrié
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D Lawrence
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone
DiffMol: 3D Structured Molecule Generation with Discrete Denoising Diffusion Probabilistic Models
Weitong Zhang, Xiaoyun Wang, Justin Smith, Joe Eaton, Brad Rees, Quanquan Gu
- Published: 19 Jun 2023, Last Modified: 28 Jul 2023
- 1st SPIGM @ ICML Poster
- Readers: Everyone