2 citations · 3 across the 10 of their papers we have counts for
7 papers · 1 filter
Scalable Multiterminal Key Agreement via Error-Correcting Codes
Benjamin D. Kim, Daniel Alabi, Lav R. Varshney
We explore connections between secret sharing and secret key agreement, which yield a simple and scalable multiterminal key agreement protocol. In our construction, we use error-co…
Verifier Threshold: An Efficient Test-Time Scaling Approach for Image Generation
Vignesh Sundaresha, Akash Haridas, Vikram Appia +1
Image generation has emerged as a mainstream application of large generative models. Just as test-time compute and reasoning have improved language model capabilities, similar bene…
Watermarking Discrete Diffusion Language Models
Avi Bagchi, Akhil Bhimaraju, Moulik Choraria +2
Watermarking has emerged as a promising technique to track AI-generated content and differentiate it from authentic human creations. While prior work extensively studies watermarki…
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
Max Hartman, Vidhata Jayaraman, Moulik Choraria +2
Vision-language models achieve incredible performance across a wide range of tasks, but their large size makes inference costly. Recent work has shown that multimodal processing co…
Federated Nonlinear System Identification
Omkar Tupe, Max Hartman, Lav R. Varshney +1
We consider federated learning of linearly-parameterized nonlinear systems. We establish theoretical guarantees on the effectiveness of federated nonlinear system identification co…
SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
Max Hartman, Lav Varshney
Joint Embedding Predictive Architectures (JEPA) have emerged as a powerful framework for learning general-purpose representations. However, these models often lack interpretability…
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
Saurabh Jha, Rohan Arora, Yuji Watanabe +40
Realizing the vision of using AI agents to automate critical IT tasks depends on the ability to measure and understand effectiveness of proposed solutions. We introduce ITBench, a…