Papers
107 papers found
The Cost and Complexity of Minimizing Envy in House Allocations (Abstract Reprint)
Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint)
Omer Madmon, Idan Pipano, Itamar Reinman et al.
Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint)
Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva
Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint)
Lars Malmqvist, Tangming Yuan, Peter Nightingale
Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint)
Robert McCarthy, Daniel C.H. Tan, Dominik Schmidt et al.
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint)
Dejan Milojevic, Gioele Zardini, Miriam Elser et al.
Recursive Causal Discovery (Abstract Reprint)
Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari et al.
db-ECBS: Interaction-Aware Multirobot Kinodynamic Motion Planning (Abstract Reprint)
Akmaral Moldagalieva, Joaquim Ortiz-Haro, Wolfgang Hönig
Causal Explanations for Sequential Decision Making (Abstract Reprint)
Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman et al.
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint)
Yangchen Pan, Junfeng Wen, Chenjun Xiao et al.
CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition (Abstract Reprint)
Pablo Pueyo, Juan Dendarieta, Eduardo Montijano et al.
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks (Abstract Reprint)
Min Ren, Yunlong Wang, Yuhao Zhu et al.
Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint)
Patrick Rodler, Birgit Hofer, Dietmar Jannach et al.
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint)
Sipu Ruan, Weixiao Liu, Xiaoli Wang et al.
Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint)
Mayra Russo, Maria-Esther Vidal
SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization (Abstract Reprint)
Sepehr Samavi, James R. Han, Florian Shkurti et al.
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint)
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco et al.
Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control (Abstract Reprint)
Erfan Shahriari, Petr Svarny, Seyed Ali Baradaran Birjandi et al.
Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint)
Gaurav Sharma, Jeff Calder, Rajesh Rajamani
End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint)
Abdolreza Taheri, Amy Rankka, Pelle Gustafsson et al.
A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint)
Wijnand van Woerkom, Davide Grossi, Henry Prakken et al.
On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint)
Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti et al.
Generating Streamlining Constraints with Large Language Models (Abstract Reprint)
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint)
Alex X. Wang, Binh P. Nguyen
Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)
Lei Wang, Piotr Koniusz