39 citations · 200 across the 57 of their papers we have counts for
8 papers · 1 filter
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems
Reece Neff, Mostafa Eghbali Zarch, Marco Minutoli +4
Probabilistic breadth-first traversals (BPTs) are used in many network science and graph machine learning applications. In this paper, we are motivated by the application of BPTs i…
A Robust, Efficient Predictive Safety Filter
Wenceslao Shaw Cortez, Jan Drgona, Draguna Vrabie +1
In this paper, we propose a novel predictive safety filter that is robust to bounded perturbations and is implemented in an even-triggered fashion to reduce online computation. The…
Semi-Streaming Algorithms for Weighted -Disjoint Matchings
S M Ferdous, Bhargav Samineni, Alex Pothen +2
We design and implement two single-pass semi-streaming algorithms for the maximum weight -disjoint matching (-DM) problem. Given an integer , the -DM problem is to find…
Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach
Yu Wang, Yuxuan Yin, Karthik Somayaji Nanjangud Suryanarayana +5
Modeling dynamical systems is crucial for a wide range of tasks, but it remains challenging due to complex nonlinear dynamics, limited observations, or lack of prior knowledge. Rec…
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Karthik Somayaji NS, Yu Wang, Malachi Schram +4
Risk-sensitive reinforcement learning (RL) has garnered significant attention in recent years due to the growing interest in deploying RL agents in real-world scenarios. A critical…
There is more to graphs than meets the eye: Learning universal features with self-supervision
Laya Das, Sai Munikoti, Nrushad Joshi +1
We study the problem of learning features through self-supervision that are generalisable to multiple graphs. State-of-the-art graph self-supervision restricts training to only one…