Computer Science

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TITLE
DATE
VIEWS
Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
By Stefan Faulkner, Reza Z, ehshahvar · ArXiv: 2602.20271
2026-02-23
0
Coupled Cluster con MōLe: Molecular Orbital Learning for Neural Wavefunctions
By Luca Thiede, Abdulrahman Aldossary, Andreas Burger · ArXiv: 2602.20232
2026-02-23
0
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
By Shaorong Chen, Jingbo Zhou, Jun Xia · ArXiv: 2602.20209
2026-02-23
0
KEMP-PIP: A Feature-Fusion Based Approach for Pro-inflammatory Peptide Prediction
By Soumik Deb Niloy, Md. Fahmid-Ul-Alam Juboraj, Swakkhar Shatabda · ArXiv: 2602.20198
2026-02-22
0
JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks
By Jakob Heiss, Sören Lambrecht, Jakob Weissteiner · ArXiv: 2602.20153
2026-02-23
0
Behavior Learning (BL): Learning Hierarchical Optimization Structures from Data
By Zhenyao Ma, Yue Liang, Dongxu Li · ArXiv: 2602.20152
2026-02-23
0
Conformal Risk Control for Non-Monotonic Losses
By Anastasios N. Angelopoulos · ArXiv: 2602.20151
2026-02-23
0
Agentic AI for Scalable and Robust Optical Systems Control
By Zehao Wang, Mingzhe Han, Wei Cheng · ArXiv: 2602.20144
2026-02-23
0
Adaptive Underwater Acoustic Communications with Limited Feedback: An AoI-Aware Hierarchical Bandit Approach
By Fabio Busacca, Andrea Panebianco, Yin Sun · ArXiv: 2602.20105
2026-02-23
0
Transcending the Annotation Bottleneck: AI-Powered Discovery in Biology and Medicine
By Soumick Chatterjee · ArXiv: 2602.20100
2026-02-23
0
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
By Shan Yang, Yang Liu · ArXiv: 2602.20078
2026-03-16
0
Robust Taylor-Lagrange Control for Safety-Critical Systems
By Wei Xiao, Christos Cass, ras · ArXiv: 2602.20076
2026-02-23
0
A Theory of How Pretraining Shapes Inductive Bias in Fine-Tuning
By Nicolas Anguita, Francesco Locatello, Andrew M. Saxe · ArXiv: 2602.20062
2026-02-23
0
AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
By Ge Yuan, Qiyuan Qiao, Jing Zhang · ArXiv: 2602.20057
2026-02-23
0
Dual Security for MIMO-OFDM ISAC Systems: Artificial Ghosts or Artificial Noise
By Yinchao Yang, Prabhat Raj Gautam, Yathreb Bouazizi · ArXiv: 2602.20045
2026-02-23
0
Let There Be Claws: An Early Social Network Analysis of AI Agents on Moltbook
By H. C. W. Price, H. AlMuhanna, P. M. Bassani · ArXiv: 2602.20044
2026-02-23
0
Discernment is all you need
By David Fuenmayor · ArXiv: 2602.20038
2026-02-23
0
Digital Twin--Driven Adaptive Wavelet Strategy for Efficient 6G Backbone Network Telemetry
By Alex, re Barbosa de Lima, Xavier Hesselbach · ArXiv: 2602.20034
2026-02-23
0
A Computationally Efficient Multidimensional Vision Transformer
By Alaa El Ichi, Khalide Jbilou · ArXiv: 2602.19982
2026-02-23
0
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
By Moritz A. Zanger, Yijun Wu, Pascal R. Van der Vaart · ArXiv: 2602.19964
2026-02-26
0
When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
By Krzysztof Adamkiewicz, Brian Moser, Stanislav Frolov · ArXiv: 2602.19946
2026-03-13
0
Parallelism and Adaptivity in Student-Teacher Witnessing
By Ondřej Ježil, Dimitrios Tsintsilidas · ArXiv: 2602.19934
2026-02-23
0
Rethinking Chronological Causal Discovery with Signal Processing
By Kurt Butler, Damian Machlanski, Panagiotis Dimitrakopoulos · ArXiv: 2602.19903
2026-02-23
0
Generalized Random Direction Newton Algorithms for Stochastic Optimization
By Soumen Pachal, Prashanth L. A., Shalabh Bhatnagar · ArXiv: 2602.19893
2026-02-23
0
Dirichlet Scale Mixture Priors for Bayesian Neural Networks
By August Arnstad, Leiv Rønneberg, Geir Storvik · ArXiv: 2602.19859
2026-02-23
0
Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
By Xinyan Su, Jiacan Gao, Mingyuan Ma · ArXiv: 2602.19851
2026-02-23
0
From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
By Gökhan Gül · ArXiv: 2602.19803
2026-02-23
0
Linear Reservoir: A Diagonalization-Based Optimization
By Romain de Coudenhove, Yannis Bendi-Ouis, Anthony Strock · ArXiv: 2602.19802
2026-02-23
0
Path-conditioned training: a principled way to rescale ReLU neural networks
By Arthur Lebeurrier, Titouan Vayer, Rémi Gribonval · ArXiv: 2602.19799
2026-02-23
0
Drift Localization using Conformal Predictions
By Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf · ArXiv: 2602.19790
2026-02-23
0
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