information theoretic - Robuta Search

https://openreview.net/forum?id=6K8c90L2mM Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty | OpenReview Applying a machine learning model for decision-making in the real world requires to distinguish what the model knows from what it does not. A critical factor... information theoretic introducing improved measure predictive https://openreview.net/forum?id=sKMzpMoSd2 A Quantum Information Theoretic Approach to Tractable Probabilistic Models | OpenReview By recursively nesting sums and products, probabilistic circuits have emerged in recent years as an attractive class of generative models as they enjoy, for... quantum information theoretic approach tractable probabilistic https://deepai.org/publication/transfer-meta-learning-information-theoretic-bounds-and-information-meta-risk-minimization Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization | DeepAI Nov 4, 2020 - 11/04/20 - Meta-learning automatically infers an inductive bias by observing data from a number of related tasks. The inductive bias is encod... meta learning information theoretic risk minimization transfer bounds https://aclanthology.org/2022.findings-emnlp.251/ Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling - ACL... Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova. Findings of the Association for Computational Linguistics: EMNLP... context aware information theoretic https://arxiv.org/abs/2510.05996 [2510.05996] Information-Theoretic Policy Pre-Training with Empowerment Abstract page for arXiv paper 2510.05996: Information-Theoretic Policy Pre-Training with Empowerment information theoretic pre training 2510 05996 policy https://ideas.repec.org/a/eee/ecosta/v5y2018icp83-106.html An information theoretic criterion for empirical validation of simulation models Downloadable (with restrictions)! Simulated models suffer intrinsically from validation and comparison problems. The choice of a suitable indicator quantifying... an information empirical validation theoretic criterion simulation https://www.nist.gov/publications/information-theoretic-evaluation-criterion-3d-reconstruction-algorithms An information theoretic evaluation criterion for 3D reconstruction algorithms: | NIST an information 3d reconstruction theoretic evaluation criterion https://sheffield.ac.uk/machine-intelligence/events/information-theoretic-limits-machine-learning Information Theoretic Limits in Machine Learning | Centre for Machine Intelligence | The University... information theoretic machine learning limits https://openreview.net/forum?id=sRKNkpUMQNr Information-Theoretic GAN Compression with Variational Energy-based Model | OpenReview We propose an information-theoretic knowledge distillation approach for the compression of generative adversarial networks, which aims to maximize the mutual... energy based model information theoretic gan compression variational https://openreview.net/forum?id=yN6NHZOXkg Generalized Information-theoretic Multi-view Clustering | OpenReview In an era of more diverse data modalities, multi-view clustering has become a fundamental tool for comprehensive data analysis and exploration. However,... information theoretic multi view generalized clustering openreview https://www.gradients.org/ An information-theoretic perspective on life in Heaven an information theoretic perspective life heaven https://www.omicsonline.org/open-access/fractal-analysis-informationtheoretic-similarities-and-svm-classificationfor-multichannel-multifrequency-preseismic-electromagneti-2157-7617-1000367.pdf Fractal Analysis, Information-Theoretic Similarities and SVM Classification for Multichannel,... fractal analysis information theoretic similarities svm classification https://www.scirp.org/journal/papercitationdetails?paperid=28160&JournalID=666 An Information Theoretic Approach to Understanding the Micro Foundations of Macro Processes In the context of a simple equilibrium macro process we suggest a probability basis for recovering information regarding the unknown and unobservable micro... an information https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2023.1140782/full Frontiers | Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm... Hierarchical Temporal Memory (HTM) is an unsupervised algorithm in machine learning. It models several fundamental neocortical computational principles. Spat... hierarchical temporal memory information theoretic frontiers analysis https://deepai.org/publication/efficient-quantum-voting-with-information-theoretic-security Efficient Quantum Voting with Information-Theoretic Security | DeepAI Dec 28, 2021 - 12/28/21 - Ensuring security and integrity of elections constitutes an important challenge with wide-ranging societal implications. Classical... information theoretic efficient quantum voting security https://openreview.net/forum?id=7Nal6i5lje Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One... We investigate the sample complexity of recovering tensors with low symmetric rank from symmetric rank-one measurements, a setting particularly motivated by... information theoretic guarantees recovering https://www.easychair.org/publications/paper/8T6 Towards an Information-Theoretic Approach to Population Structure an information towards theoretic approach population https://aclanthology.org/2024.acl-long.32/ An Information-Theoretic Approach to Analyze NLP Classification Tasks - ACL Anthology Luran Wang, Mark Gales, Vatsal Raina. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024. an information theoretic approach https://deepai.org/publication/information-theoretic-bounds-based-channel-quantization-design-for-emerging-memories Information Theoretic Bounds Based Channel Quantization Design for Emerging Memories | DeepAI Nov 9, 2018 - 11/09/18 - Channel output quantization plays a vital role in high-speed emerging memories such as the spin-torque transfer magnetic random ac... information theoretic bounds based channel https://www.kth.se/social/group/eo3320-information-t/calendar/ Calendar for EO3320 Information Theoretic Security course | KTH information theoretic security course calendar kth https://www.mdpi.com/2072-4292/15/4/1147 Hyperspectral Image Classification via Information Theoretic Dimension Reduction Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, and minerals.... hyperspectral image information theoretic classification via dimension https://www.kth.se/en/forskning/kalender/disputationer/an-information-theoretic-approach-to-generalization-theory-1.1328595?date=2024-04-23&orgdate=2024-02-27&length=1&orglength=309 An Information-Theoretic Approach to Generalization Theory | KTH an information theoretic approach generalization theory https://openreview.net/forum?id=rJlhYa4FPB&referrer=%5Bthe%20profile%20of%20Xiaojiang%20Yang%5D(%2Fprofile%3Fid%3D~Xiaojiang_Yang1) An Information Theoretic Perspective on Disentangled Representation Learning | OpenReview Existing works on disentangled representation learning usually lie on a common assumption: all factors in a disentangled representation should be independent.... an information representation learning theoretic perspective disentangled https://arxiv.org/abs/2512.20552 [2512.20552] Information-theoretic signatures of causality in Bayesian networks and hypergraphs Abstract page for arXiv paper 2512.20552: Information-theoretic signatures of causality in Bayesian networks and hypergraphs information theoretic https://openreview.net/forum?id=msQGnw5mtw Information theoretic study of the neural geometry induced by category learning | OpenReview Categorization is an important topic both for biological and artificial neural networks. Here, we take an information theoretic approach to assess the... information theoretic https://openreview.net/forum?id=9I2jTPhCku An Information-Theoretic Understanding of Maximum Manifold Capacity Representations | OpenReview Maximum Manifold Capacity Representations (MMCR) is a recent multi-view self-supervised learning (MVSSL) method that matches or surpasses other leading MVSSL... an information theoretic understanding maximum manifold https://arxiv.org/abs/2506.07661 [2506.07661] Information-Theoretic Framework for Understanding Modern Machine-Learning Abstract page for arXiv paper 2506.07661: Information-Theoretic Framework for Understanding Modern Machine-Learning information theoretic modern machine 2506 07661 framework https://openreview.net/forum?id=udEjq72DFO Information-Theoretic Generalization Bounds for Deep Neural Networks | OpenReview Deep neural networks (DNNs) exhibit an exceptional capacity for generalization in practical applications. This work aims to capture the effect and benefits of... deep neural networks information theoretic generalization bounds openreview https://openreview.net/forum?id=WcfVyzzJOS Increasing Brain-LLM Alignment via Information-Theoretic Compression | OpenReview Recent work has discovered similarities between learned representations in large language models (LLMs) and human brain activity during language processing.... information theoretic increasing brain llm alignment https://ideas.repec.org/a/eee/jbfina/v16y1992i3p545-566.html Traditional and nontraditional banking: An information-theoretic approach Downloadable (with restrictions)! No abstract is available for this item. an information traditional banking theoretic approach https://openreview.net/forum?id=yltJAlwtW9 Information-theoretic Generalization Analysis for Expected Calibration Error | OpenReview While the expected calibration error (ECE), which employs binning, is widely adopted to evaluate the calibration performance of machine learning models,... information theoretic generalization analysis expected calibration https://openreview.net/forum?id=1Ji9QsUVQ1 An Information-Theoretic Analysis on Temporal Graph Evolution | OpenReview In this paper, we present a novel model termed Network Evolution Chains for simulating the temporal dynamics of networks. Our model's design is tailored to... an information theoretic analysis temporal graph https://openreview.net/forum?id=Z9AZsU1Tju Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning | OpenReview Integrating and processing information from various sources or modalities are critical for obtaining a comprehensive and accurate perception of the real world... information theoretic multimodal learning neuro inspired hierarchical https://openreview.net/forum?id=Uz9J77Riul Information Theoretic Guarantees For Policy Alignment In Large Language Models | OpenReview Policy alignment of large language models refers to constrained policy optimization, where the policy is optimized to maximize a reward while staying close to... large language models information theoretic guarantees policy https://openreview.net/forum?id=PfJvU4bAQX Information-Theoretic Measures on Lattices for Higher-Order Interactions | OpenReview Traditional measures based solely on pairwise associations often fail to capture the complex statistical structure of multivariate data. Existing approaches... information theoretic measures lattices higher order https://deepai.org/publication/shaping-the-narrative-arc-an-information-theoretic-approach-to-collaborative-dialogue Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue | DeepAI Jan 31, 2019 - 01/31/19 - We consider the problem of designing an artificial agent capable of interacting with humans in collaborative dialogue to produce c... the narrative an information https://arxiv.org/html/2604.10727v1 Tail-Aware Information-Theoretic Generalization for RLHF and SGLD information theoretic tail aware generalization rlhf https://www.stir.ac.uk/research/hub/publication/494155 Working Paper | Contrasting information theoretic decompositions of modulatory and arithmetic... working paper information theoretic contrasting decompositions modulatory https://huggingface.co/papers/2404.03176 Paper page - Information-Theoretic Generalization Bounds for Deep Neural Networks Join the discussion on this paper page page information paper theoretic generalization bounds https://arxiv.org/abs/2402.08794 [2402.08794] An information-theoretic lower bound in time-uniform estimation Abstract page for arXiv paper 2402.08794: An information-theoretic lower bound in time-uniform estimation an information lower bound 2402 08794 theoretic https://deepai.org/publication/coexistence-of-urllc-and-embb-services-in-the-c-ran-uplink-an-information-theoretic-study Coexistence of URLLC and eMBB services in the C-RAN Uplink: An Information-Theoretic Study | DeepAI Apr 18, 2018 - 04/18/18 - The performance of orthogonal and non-orthogonal multiple access is studied for the multiplexing of enhanced Mobile BroadBand (eMB...