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From the 6 of 119 papers with an AI index.

most citedContinuous operation of a coherent 3,000-qubit system

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cs.LG2026

Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

Abhisek Ganguly, Santosh Ansumali, Sauro Succi

We revisit the analogy between feed-forward deep neural networks (DNNs) and discrete dynamical systems derived from neural integral equations and their corresponding partial differ…

cs.LG2026

DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce

Wenchen Han, Shay Vargaftik, Michael Mitzenmacher +1

Multi-hop all-reduce is the de facto backbone of large model training. As the training scale increases, the network often becomes a bottleneck, motivating the reduction of the volu…

cs.LG2026

Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI

Armin Heydari, Torben Leowald

This article develops an architecture that creates a formally verifiable reward signal to train legal AI, adapting the LLM proposes, verifier disposes paradigm from mathematical AI…

cs.LG2026

A ghost mechanism: An analytical model of abrupt learning in recurrent networks

Fatih Dinc, Ege Cirakman, Bariscan Kurtkaya +4

Abrupt learning is a common phenomenon in recurrent neural networks (RNNs) trained on working memory tasks. In such cases, the networks develop transient slow regions in state spac…

cs.LG20262 cited

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions

Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam +2

Examining Drug-Drug Interactions (DDIs) is a pivotal element in the process of drug development. DDIs occur when one drug's properties are affected by the inclusion of other drugs.…