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Poster
Thu 13:30 Exact Inference in High-order Structured Prediction
Chuyang Ke · Jean Honorio
Workshop
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
Waïss Azizian · Guillaume Baudart · Marc Lelarge
Workshop
On the Identifiability of Markov Switching Models
Carles Balsells Rodas · Yixin Wang · Yingzhen Li
Poster
Thu 16:30 Effective and Efficient Structural Inference with Reservoir Computing
Aoran Wang · Tsz Pan Tong · Jun Pang
Workshop
ZipLM: Inference-Aware Structured Pruning of Language Models
Eldar Kurtic · Elias Frantar · Dan Alistarh
Workshop
Inferring Hierarchical Structure in Multi-Room Maze Environments
Daria de Tinguy · Toon Van de Maele · Tim Verbelen · Bart Dhoedt
Workshop
Structured Neural Networks for Density Estimation
Asic Chen · Ruian Shi · Xiang Gao · Ricardo Baptista · Rahul G. Krishnan
Workshop
Dimensionality Reduction as Probabilistic Inference
Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence
Workshop
Fri 15:15 Inferring the Goals of Communicating Agents from Actions and Instructions
Lance Ying · Tan Zhi-Xuan · Vikash Mansinghka · Josh Tenenbaum
Workshop
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani · Nick Pawlowski · Joel Jennings · Stefan Bauer · Cheng Zhang · Wenbo Gong
Workshop
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
Workshop
Fri 15:15 The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling probabilistic social inferences from linguistic inputs
Lance Ying · Katie Collins · Megan Wei · Cedegao Zhang · Tan Zhi-Xuan · Adrian Weller · Josh Tenenbaum · Catherine Wong