Forecasting Microbial Dynamics: Evaluation Protocol and Prior-Spectrum Benchmark

Fedor Sergeev, Anna Győrffy-Kerekes, Tristan Gollmart, Vincent Fortuin and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

On Differentially Private Mechanisms for Linear Regression

Bardiya Aryanfard, Monika Henzinger, Farhood Rostamkhani

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Sampling-Free Privacy Accounting for Matrix Mechanisms under Random Allocation

Developing sampling-free Rényi divergence and conditional composition bounds improves privacy amplification for matrix mechanisms under random allocation without Monte Carlo sampling.

Jan Schuchardt, Nikita Kalinin

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

The Rate-Distortion-Polysemanticity Tradeoff in SAEs

Sparse autoencoders face a rate-distortion-polysemanticity tradeoff where monosemanticity raises reconstruction cost and data co-occurrence drives polysemanticity.

Tommaso Mencattini, Francesco Montagna, Francesco Locatello

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Grid Games: The Power Of Multiple Grids for Quantizing Large Language Models

Multiple grids per group improve 4-bit quantization by selecting better grids per group, consistently boosting accuracy over single-grid FP4 for weights and activations.

Vage Egiazarian, Erik Schultheis, Andrei Panferov, Earl Killian and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Learning to play with spikes. Characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing

Local plasticity rules stabilize spiking reservoirs and structure representations into predictable, transferable signatures that allow direct engineering of high-performing neuromorphic algorithms.

Maciej Kania, Basile Confavreux, Tim Vogels

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Multi-Environment POMDPs with Finite-Horizon Objectives

Finite-horizon multi-environment POMDP optimization is PSPACE-complete, and a new practical algorithm significantly outperforms prior methods on benchmarks.

Léonard Brice, Filip Cano, Krishnendu Chatterjee, Thomas Henzinger and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026