activity
20242026
most citedGemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

49 citations · 49 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

The Power of Second Order Methods for Sequence Preconditioning

Annie Marsden, Elad Hazan

Sequence prediction methods for linear dynamical systems with long memory, i.e. marginally stable systems, typically achieve regret that grows linearly with the hidden dimension of…

cs.LG2026

RubiConv -- Efficient Boundary-Respecting Convolutions

Linda Friso, Annie Marsden, Xinyi Chen +4

Convolutional architectures have emerged as powerful alternatives to Transformers for sequence modeling. The primary advantage is that they offer improved theoretical sequence leng…

quant-ph2026

Spectral Filtering for Complex Linear Dynamical Systems

Elad Hazan, Annie Marsden

We study the problem of learning complex-valued linear dynamical systems (CLDS) with sector-bounded spectrum. This class captures oscillatory and long-memory dynamics arising in si…

math.OC2025

Isotropic Noise in Stochastic and Quantum Convex Optimization

Annie Marsden, Liam O'Carroll, Aaron Sidford +1

We consider the problem of minimizing a -dimensional Lipschitz convex function using a stochastic gradient oracle. We introduce and motivate a setting where the noise of the sto…

cs.CL2025★ 49 cited

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.LG2025

Universal Sequence Preconditioning

Annie Marsden, Elad Hazan

We study the problem of preconditioning in sequential prediction. From the theoretical lens of linear dynamical systems, we show that convolving the target sequence corresponds to…

cs.LG2024

Provable Length Generalization in Sequence Prediction via Spectral Filtering

Annie Marsden, Evan Dogariu, Naman Agarwal +3

We consider the problem of length generalization in sequence prediction. We define a new metric of performance in this setting -- the Asymmetric-Regret -- which measures regret aga…