NeurIPS 2023

A State Representation for Diminishing Rewards
Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani
Tue, 12 December — Poster Session 2

MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs, Antonin Schrab, Arthur Gretton
Wed, 13 December — Poster Session 3

The Transient Nature of Emergent In-context Learning in Transformers
Aaditya Singh, Stephanie Chan, Ted Moskovitz, Erin Grant, Andrew Saxe, Felix Hill
Wed, 13 December — Poster Session 3

Disentanglement via Latent Quantization
Kyle Hsu, William Dorrell, James Whittington, Chelsea Finn, Jiajun Wu
Wed, 13 December — Poster Session 3

Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
Wed, 13 December — Poster Session 4

Successor-Predecessor Intrinsic Exploration
Changmin Yu, Neil Burgess, Samuel J Gershman, Maneesh Sahani
Thu, 14 December — Poster Session 5

MMD Aggregated Two-Sample Test
Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton
Thu, 14 December — Poster Session 6

The Graphical Matrix Pencil Method: Exchangeable Distributions with Prescribed Subgraph Densities
Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
Thu, 14 December — Poster Session 6