To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles
Comments Won Best Paper Award at NeurIPS 2022 Progress and Challenges in Building Trustworthy Embodied AI Workshop (TEA 2022)
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Automated Configuration and Usage of Strategy Portfolios for Bargaining
Comments Accepted to the Cooperative AI workshop @ NeurIPS 2021 (non-archival). Extended version accepted to AAMAS 2022: https://ifaamas.org/Proceedings/aamas2022/pdfs/p1101.pdf
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs
Comments Neural Information Processing Systems 2022: The Machine Learning and the Physical Sciences workshop
Dynamic Sparse Network for Time Series Classification: Learning What to "see''
Comments Accepted at Neural Information Processing Systems (NeurIPS 2022)
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations
Comments NIPS 2022
Physics Informed Symbolic Networks
Comments Neural Information Processing Systems 2022: The Symbiosis of Deep Learning and Differential Equations Workshop
Local Identifiability of Deep ReLU Neural Networks: the Theory
Journal ref Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United States
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks
Journal ref Advances in Neural Information Processing Systems, Dec 2022, New-Orleans, United States
Group Meritocratic Fairness in Linear Contextual Bandits
Comments NeurIPS 2022. Code for the experiments at https://github.com/CSML-IIT-UCL/GMFbandits
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Comments Accepted for publication (with an oral presentation) at AISTATS 2022. A preliminary version of this paper was accepted in the NeurIPS 2021 workshop "Your Model is Wrong: Robustness and misspecification in probabilistic modeling". v2: added some references. v3: corrected small error in theorem 3
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Comments NeurIPS 2021
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis
Comments 11 pages, 5 figures, NeurIPS 2022 Workshop on Challenges in Deploying and Monitoring Machine Learning Systems
Decay-aware neural network for event classification in collider physics
Comments Presented at the Machine Learning and the Physical Sciences Workshop, NeurIPS 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Comments Appeared in RL4RealLife@NeurIPS 2022
Learning Equivariant Segmentation with Instance-Unique Querying
Comments Accepted to NeurIPS 2022; Code: https://github.com/JamesLiang819/Instance_Unique_Querying
Large-Scale Retrieval for Reinforcement Learning
Comments Thirty-sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), 16 pages
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation
Comments accepted at NeurIPS 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Comments Accepted in Neural Information Processing Systems 2022. 44 pages, 2 figures, 2 tables
Molecule Generation by Principal Subgraph Mining and Assembling
Comments Accepted by NeurIPS 2022. Oral presentation
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery
Journal ref DLDE Workshop in the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems
Comments Accepted to the ML Safety Workshop at NeurIPS 2022
Safe Evaluation For Offline Learning: Are We Ready To Deploy?
Comments NeurIPS 2021 Workshop on Deployable Decision Making in Embodied Systems [Spotlight]
Improving self-supervised representation learning via sequential adversarial masking
Comments 9 pages, 2 figures, Presented at NeurIPS 2022 SSL: Theory and Practice Workshop
A Simple Decentralized Cross-Entropy Method
Comments NeurIPS 2022. The last two authors advised equally
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations
Comments This paper was submitted to NeurIPS Machine Learning and the Physical Sciences Workshop 2022
A unified information-theoretic model of EEG signatures of human language processing
Comments 4 pages, 3 figures, accepted InfoCog workshop at NeurIPS 2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Comments NeurIPS 2022 All Things Attention Workshop
Redefining Relationships in Music
Comments Presented at Cultures in AI/AI in Culture workshop at NeurIPS 2022
SL3D: Self-supervised-Self-labeled 3D Recognition
Comments This paper has already been accepted by Neural Information Processing Systems (NeurIPS 2022) Workshop on Self-Supervised Learning: Theory and Practice
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Comments Accepted at NeurIPS 2022
