353 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Hewlett Packard Enterprise (Ireland)IE11 papers
- Hewlett-Packard (United States)US10 papers
- Nanyang Technological UniversitySG6 papers
- Forschungszentrum JülichDE5 papers
- Stanford UniversityUS5 papers
- Georgia Institute of TechnologyUS4 papers
- RWTH Aachen UniversityDE4 papers
- The University of Texas at AustinUS4 papers
- University of California, BerkeleyUS4 papers
- Aalto UniversityFI3 papers
- Carnegie Mellon UniversityUS3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
11 papers · 1 filter
EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems
Shuo Huai, Hao Kong, Shiqing Li +5
Edge devices are increasingly utilized for deploying deep learning applications on embedded systems. The real-time nature of many applications and the limited resources of edge dev…
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems
Shuo Huai, Di Liu, Hao Kong +5
Federated Learning (FL) empowers multiple clients to collaboratively learn a model, enlarging the training data of each client for high accuracy while protecting data privacy. Howe…
Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization
Shuo Huai, Di Liu, Hao Kong +4
Deep learning applications have been widely adopted on edge devices, to mitigate the privacy and latency issues of accessing cloud servers. Deciding the number of neurons during th…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi +5
We present a Reinforcement Learning Platform for Adversarial Black-box untargeted and targeted attacks, RLAB, that allows users to select from various distortion filters to create…
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi +3
We present a generic Reinforcement Learning (RL) framework optimized for crafting adversarial attacks on different model types spanning from ECG signal analysis (1D), image classif…
3D object quality prediction for Metal Jet Printer with Multimodal thermal encoder
Rachel, Chen, Wenjia Zheng +3
With the advancements in 3D printing technologies, it is extremely important that the quality of 3D printed objects, and dimensional accuracies should meet the customer's specifica…
Combining Machine Learning with Computational Fluid Dynamics using OpenFOAM and SmartSim
Tomislav Maric, Mohammed Elwardi Fadeli, Alessandro Rigazzi +2
Combining machine learning (ML) with computational fluid dynamics (CFD) opens many possibilities for improving simulations of technical and natural systems. However, CFD+ML algorit…
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels
Alexander Shmakov, Avisek Naug, Vineet Gundecha +5
Bayesian Optimization (BO), guided by Gaussian process (GP) surrogates, has proven to be an invaluable technique for efficient, high-dimensional, black-box optimization, a critical…
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez +8
The increasing global emphasis on sustainability and reducing carbon emissions is pushing governments and corporations to rethink their approach to data center design and operation…
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters
Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour +4
Recent Wave Energy Converters (WEC) are equipped with multiple legs and generators to maximize energy generation. Traditional controllers have shown limitations to capture complex…