Search results for "ensembles"

Hits ?▲	Authors	Title	Venue	Year	Link
10	Carlos Martin, Tuomas Sandholm	Computing equilibria by minimizing exploitability with best-response ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vincent Pisztora, Jia Li 0001	Learning Performance Maximizing Ensembles with Explainability Guarantees.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit	Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer 0001	Improving Online Continual Learning Performance and Stability with Temporal Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ron Fulbright	On the Augmentation of Cognitive Accuracy and Cognitive Precision in Human/Cog Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vítor Cerqueira, Luís Torgo	Multi-output Ensembles for Multi-step Forecasting.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andre Gustavo Hochuli, Jean Paul Barddal, Gillian Cezar Palhano, Leonardo Matheus Mendes, Paulo Ricardo Lisboa de Almeida	Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems.	CoRR	2023	DBLP DOI BibTeX RDF
10	Thomas Philippon, Christian Gagné 0001	Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xing Shen, Hengguan Huang, Brennan Nichyporuk, Tal Arbel	Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney	When are ensembles really effective?	CoRR	2023	DBLP DOI BibTeX RDF
10	Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian	The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko	Deep Gaussian Mixture Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Joshua D. Daniell, Piyush M. Mehta	Probabilistic Solar Proxy Forecasting with Neural Network Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tim Whitaker	Subnetwork Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Thomas Coste, Usman Anwar, Robert Kirk, David Krueger	Reward Model Ensembles Help Mitigate Overoptimization.	CoRR	2023	DBLP DOI BibTeX RDF
10	Stefano Calzavara, Lorenzo Cazzaro, Giulio Ermanno Pibiri, Nicola Prezza	Verifiable Learning for Robust Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Veit David Wild, Sahra Ghalebikesabi, Dino Sejdinovic, Jeremias Knoblauch	A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods.	CoRR	2023	DBLP DOI BibTeX RDF
10	Rafael Henrique Vareto, William Robson Schwartz	Open-set Face Recognition using Ensembles trained on Clustered Data.	CoRR	2023	DBLP DOI BibTeX RDF
10	Stanislav Dereka, Ivan Karpukhin, Sergey Kolesnikov	Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrei V. Konstantinov, Lev V. Utkin	Interpretable Ensembles of Hyper-Rectangles as Base Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson	You can have your ensemble and run it too - Deep Ensembles Spread Over Time.	CoRR	2023	DBLP DOI BibTeX RDF
10	Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Rüdiger Westermann	Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Igor Gitman, Vitaly Lavrukhin, Aleksandr Laptev, Boris Ginsburg	Confidence-based Ensembles of End-to-End Speech Recognition Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Kareem A. Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, Xiao Liang 0012	DE-TGN: Uncertainty-Aware Human Motion Forecasting using Deep Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ilija Tavchioski, Marko Robnik-Sikonja, Senja Pollak	Detection of depression on social networks using transformers and ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yixiao Zhang 0002, Akira Maezawa, Gus Xia, Kazuhiko Yamamoto, Simon Dixon	Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jonas Busk, Mikkel N. Schmidt, Ole Winther, Tejs Vegge, Peter Bjørn Jørgensen	Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shuangmei Wang, Yang Cao, Tieru Wu	TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan	Diverse Projection Ensembles for Distributional Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik	Fast Inference of Tree Ensembles on ARM Devices.	CoRR	2023	DBLP DOI BibTeX RDF
10	Panagiotis Mougkogiannis, Andrew Adamatzky	Learning in ensembles of proteinoid microspheres.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ruoqi Wen, Jiahao Huang, Rongpeng Li, Guoru Ding, Zhifeng Zhao	Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Anshul Nayak, Azim Eskandarian, Zachary Doerzaph, Prasenjit Ghorai	Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty.	CoRR	2023	DBLP DOI BibTeX RDF
10	Matthew J. Tilley, Michelle Miller 0007, David Freedman	Artificial Neuronal Ensembles with Learned Context Dependent Gating.	CoRR	2023	DBLP DOI BibTeX RDF
10	Shivam Pande	Land use/land cover classification of fused Sentinel-1 and Sentinel-2 imageries using ensembles of Random Forests.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jan Felipe van Diejen, Erdal Emsiz	Cubature rules for unitary Jacobi ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lennart Purucker, Joeran Beel	Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sunwoong Yang, Kwanjung Yee	Towards Quantifying Calibrated Uncertainty via Deep Ensembles in Multi-output Regression Task.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ioannis Papoutsidakis, Angela Doufexi, Robert J. Piechocki	Efficient Evaluation of the Probability of Error of Random Coding Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Giulia Di Teodoro, Marta Monaci, Laura Palagi	Unboxing Tree Ensembles for interpretability: a hierarchical visualization tool and a multivariate optimal re-built tree.	CoRR	2023	DBLP DOI BibTeX RDF
10	Mohammad Junayed Hasan, Suhra Noor, Mohammad Ashrafuzzaman Khan	Preserving the knowledge of long clinical texts using aggregated ensembles of large language models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Grant C. Forbes, Parth Katlana, Zeydy Ortiz	Metric Ensembles For Hallucination Detection.	CoRR	2023	DBLP DOI BibTeX RDF
10	Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba	Boosted Prompt Ensembles for Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Duc C. Hoang, Cuong V. Nguyen, Amin Kharraz	EnSolver: Uncertainty-Aware CAPTCHA Solver Using Deep Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aidin Shiri, Kaushik Roy 0009, Amit P. Sheth, Manas Gaur	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Juan S. Angarita-Zapata, Antonio D. Masegosa, Isaac Triguero	AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting.	CoRR	2023	DBLP DOI BibTeX RDF
10	Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar	Joint Training of Deep Ensembles Fails Due to Learner Collusion.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tanmay Chavan, Ved Patwardhan	Text Intimacy Analysis using Ensembles of Multilingual Transformers.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aik Rui Tan, Shingo Urata, Samuel Goldman, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli	Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Carolina Veiga Ferreira de Souza, Suzanna Maria Bonnet, Daniel de Oliveira 0001, Márcio Cataldi, Fabio Miranda 0001, Marcos Lage	ProWis: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lizao Li, Rob Carver, Ignacio Lopez-Gomez, Fei Sha, John Anderson	SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Felix Jimenez, Matthias Katzfuss	Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	John Törnblom, Emil Karlsson, Simin Nadjm-Tehrani	Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ori Linial, Alon Shoshan, Nadav Bhonker, Elad Hirsch, Lior Zamir, Igor Kviatkovsky, Gérard G. Medioni	Asymmetric Face Recognition with Cross Model Compatible Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera, Takashi Shimokawabe, Hayato Shiba, Yasuhiro Idomura	Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yanzhao Wu 0001, Ka Ho Chow, Wenqi Wei, Ling Liu 0001	Hierarchical Pruning of Deep Ensembles with Focal Diversity.	CoRR	2023	DBLP DOI BibTeX RDF
10	Panagiotis Mougkogiannis, Andrew Adamatzky	Low frequency electrical waves in ensembles of proteinoid microspheres.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jorge Martínez Gil	Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vimal KB, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian	Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach.	CoRR	2023	DBLP DOI BibTeX RDF
10	Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, John P. Cunningham	Pathologies of Predictive Diversity in Deep Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jin-Hong Du, Pratik Patil, Arun Kumar Kuchibhotla	Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Konrad Zuchniak	Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Dang Qua Nguyen, Taejoon Kim	On The Stability of Approximate Message Passing with Independent Measurement Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni	Sea level Projections with Machine Learning using Altimetry and Climate Model ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Romit Maulik, Romain Egele, Krishnan Raghavan, Prasanna Balaprakash	Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	David Janz, Alexander E. Litvak, Csaba Szepesvári	Ensemble sampling for linear bandits: small ensembles suffice.	CoRR	2023	DBLP DOI BibTeX RDF
10	Hotaka Shiokawa, Pradipto Das, Arthur Toth, Justin Chiu	Multi-output Headed Ensembles for Product Item Classification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Xi Wang, Laurence Aitchison, Maja Rudolph	LoRA ensembles for large language model fine-tuning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava	Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries.	CoRR	2023	DBLP DOI BibTeX RDF
10	Nicole Merkle, Ralf Mikut	Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato	An impossibility result for Markov Chain Monte Carlo sampling from micro-canonical bipartite graph ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yanqiao Zhu 0001, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang 0010	Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Benjamin S. Ruben, Cengiz Pehlevan	Learning Curves for Heterogeneous Feature-Subsampled Ridge Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Enes Bektas, Fazli Can	Leveraging Linear Independence of Component Classifiers: Optimizing Size and Prediction Accuracy for Online Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jiechen Chen, Sangwoo Park, Osvaldo Simeone	Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
10	Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer	Hierarchical Neural Simulation-Based Inference Over Event Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Saumya Sinha, John Fasullo, Robert Steven Nerem, Claire Monteleoni	Multi-decadal Sea Level Prediction using Neural Networks and Spectral Clustering on Climate Model Large Ensembles and Satellite Altimeter Data.	CoRR	2023	DBLP DOI BibTeX RDF
10	Adam Piróg, Halina Kwasnicka	Snapshot Spectral Clustering - a costless approach to deep clustering ensembles generation.	CoRR	2023	DBLP DOI BibTeX RDF
10	David Hoffmann	Impact of HPO on AutoML Forecasting Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yash Gupta, Runtian Zhai, Arun Sai Suggala, Pradeep Ravikumar	Responsible AI (RAI) Games and Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Vladan Stojnic, Zakaria Laskar, Giorgos Tolias	Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger	CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders.	CoRR	2023	DBLP DOI BibTeX RDF
10	Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding 0001, Zhangyang Wang	Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jamie F. Mair, Luke Causer, Juan P. Garrahan	Minibatch training of neural network ensembles via trajectory sampling.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tim Whitaker, Darrell Whitley	Interpretable Diversity Analysis: Visualizing Feature Representations In Low-Cost Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Tatsuro Kawamoto	Entropy of microcanonical finite-graph ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Rui Fang	Penalty Ensembles for Navier-Stokes with Random Initial Conditions & Forcing.	CoRR	2023	DBLP DOI BibTeX RDF
10	Yuyue Yan, Takahiro Kawaguchi, Yuichiro Yano, Yuko Hanado, Takayuki Ishizaki	Structured Kalman Filter for Time Scale Generation in Atomic Clock Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jose González-Abad, Jorge Baño-Medina	Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions.	CoRR	2023	DBLP DOI BibTeX RDF
10	Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant	Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.	CoRR	2023	DBLP DOI BibTeX RDF
10	Atticus Beachy, Harok Bae, José Camberos, Ramana Grandhi	Epistemic Modeling Uncertainty of Rapid Neural Network Ensembles for Adaptive Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Uri Stern, Daniel Shwartz, Daphna Weinshall	United We Stand: Using Epoch-wise Agreement of Ensembles to Combat Overfit.	CoRR	2023	DBLP DOI BibTeX RDF
10	Cuong Tran 0007, Ferdinando Fioretto	On the Fairness Impacts of Private Ensembles Models.	CoRR	2023	DBLP DOI BibTeX RDF
10	Constantinos Chamzas, Caelan Reed Garrett, Balakumar Sundaralingam, Lydia E. Kavraki, Dieter Fox	Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation.	CoRR	2023	DBLP DOI BibTeX RDF
10	Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski	Input gradient diversity for neural network ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis	Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification.	CoRR	2023	DBLP DOI BibTeX RDF
10	Sam Powers, Eliot Xing, Abhinav Gupta 0001	Self-Activating Neural Ensembles for Continual Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
10	Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru	UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge	On Computing Optimal Tree Ensembles.	CoRR	2023	DBLP DOI BibTeX RDF
10	Aditi Singla, Aditya Singh, Kanishk Kukreja	A bi-objective ε-constrained framework for quality-cost optimization in language model ensembles.	CoRR	2023	DBLP DOI BibTeX RDF