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Congratulations to all our researchers who have papers accepted to 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