activity
20122024
most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

297 citations · 323 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2024★ 297 cited

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over…

cs.LG2023★ 3 cited

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Marc Finzi, Anudhyan Boral, Andrew Gordon Wilson +2

Diffusion models are a class of probabilistic generative models that have been widely used as a prior for image processing tasks like text conditional generation and inpainting. We…

cs.LG2023★ 2 cited

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations

Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez +5

We introduce a data-driven learning framework that assimilates two powerful ideas: ideal large eddy simulation (LES) from turbulence closure modeling and neural stochastic differen…

cs.LG2023★ 11 cited

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

Zhong Yi Wan, Ricardo Baptista, Yi-fan Chen +4

We introduce a two-stage probabilistic framework for statistical downscaling using unpaired data. Statistical downscaling seeks a probabilistic map to transform low-resolution data…

cs.LG2023★ 4 cited

Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems

Zhong Yi Wan, Leonardo Zepeda-Núñez, Anudhyan Boral +1

We present a data-driven, space-time continuous framework to learn surrogate models for complex physical systems described by advection-dominated partial differential equations. Th…

cs.DC2022

Accelerating Physics Simulations with TPUs: An Inundation Modeling Example

Damien Pierce, R. Lily Hu, Yusef Shafi +4

Recent advancements in hardware accelerators such as Tensor Processing Units (TPUs) speed up computation time relative to Central Processing Units (CPUs) not only for machine learn…

cs.DS2014

Multi-Party Set Reconciliation Using Characteristic Polynomials

Anudhyan Boral, Michael Mitzenmacher

In the standard set reconciliation problem, there are two parties and , each respectively holding a set of elements and . The goal is for both parties to obta…

cs.DS2013★ 4 cited

Fast branching algorithm for Cluster Vertex Deletion

Anudhyan Boral, Marek Cygan, Tomasz Kociumaka +1

In the family of clustering problems, we are given a set of objects (vertices of the graph), together with some observed pairwise similarities (edges). The goal is to identify clus…

cs.LO2012★ 2 cited

Model Checking Parse Trees

Anudhyan Boral, Sylvain Schmitz

Parse trees are fundamental syntactic structures in both computational linguistics and compilers construction. We argue in this paper that, in both fields, there are good incentive…