ICML 2024 Workshop SPIGM Submissions

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
Ziwei Jiang, Murat Kocaoglu
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Transformer Conformal Prediction for Time Series
Junghwan Lee, Chen Xu, Yao Xie
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
The GAN is dead; long live the GAN! A Modern Baseline GAN
Nick Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin
- Published: 17 Jun 2024, Last Modified: 16 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
Jayoung Ryu, Romain Lopez, Charlotte Bunne, Luca Pinello, Aviv Regev
- Published: 17 Jun 2024, Last Modified: 11 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Collective Variable Free Transition Path Sampling with Generative Flow Network
Kiyoung Seong, Seonghyun Park, Seonghwan Kim, Woo Youn Kim, Sungsoo Ahn
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Simple and Effective Masked Diffusion Language Models
Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Generative Design of Decision Tree Policies for Reinforcement Learning
Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel faissol, Brenden K. Petersen, Mikel Landajuela
- Published: 17 Jun 2024, Last Modified: 16 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
QGFN: Controllable Greediness with Action Values
Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
- Published: 17 Jun 2024, Last Modified: 18 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Recursive Introspection: Teaching LLM Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Energy-Free Guidance of Geometric Diffusion Models for 3D Molecule Inverse Design
Jiaqi Han, Aksh Garg, Sanjay Nagaraj, Minkai Xu
- Published: 17 Jun 2024, Last Modified: 20 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Color Style Transfer with Modulated Flows
Maria Larchenko, Alexander Lobashev, Dmitry Guskov, Vladimir Vladimirovich Palyulin
- Published: 17 Jun 2024, Last Modified: 16 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
Adam X. Yang, Laurence Aitchison, Henry Moss
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Bayesian Reward Models for LLM Alignment
Adam X. Yang, Maxime Robeyns, Thomas Coste, Zhengyan Shi, Jun Wang, Haitham Bou Ammar, Laurence Aitchison
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Lifted Residual Score Estimation
Tejas Jayashankar, Jongha Jon Ryu, Xiangxiang Xu, Gregory W. Wornell
- Published: 17 Jun 2024, Last Modified: 17 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noe, Carla P Gomes, Alan Aspuru-Guzik, Kirill Neklyudov
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Stein Variational Newton Neural Network Ensembles
Klemens Flöge, Muhammad Abdul Moeed, Vincent Fortuin
- Published: 17 Jun 2024, Last Modified: 15 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Accelerating statistical inferences in astrophysics with Neural Networks and Hamiltonian Monte Carlo
Diego Gonzalez-Hernandez, Molly Wolfson, Joseph F. Hennawi
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Equivariant Flow Matching for Molecular Conformer Generation
Majdi Hassan, Nikhil Shenoy, Jungyoon Lee, Hannes Stark, Stephan Thaler, Dominique Beaini
- Published: 17 Jun 2024, Last Modified: 20 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, sujay sanghavi
- Published: 17 Jun 2024, Last Modified: 20 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Improving GFlowNets with Monte Carlo Tree Search
Nikita Morozov, Daniil Tiapkin, Sergey Samsonov, Alexey Naumov, Dmitry Vetrov
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Demystifying amortized causal discovery with transformers
Francesco Montagna, Max Cairney-Leeming, Dhanya Sridhar, Francesco Locatello
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Generative Fractional Diffusion Models
Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Identifying latent state transition in non-linear dynamical systems
Çağlar Hızlı, Çagatay Yildiz, Matthias Bethge, S. T. John, Pekka Marttinen
- Published: 17 Jun 2024, Last Modified: 02 Jul 2024
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
- Published: 17 Jun 2024, Last Modified: 19 Jul 2024
- 2nd SPIGM @ ICML Oral
- Readers: Everyone