CASA: Category-agnostic Skeletal Animal Reconstruction
Comments Accepted to NeurIPS 2022
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano-particles in a contaminated aquifer
Comments 5 pages, 3 Figures, Conference paper accepted in NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
Comments Accepted for publication and spotlight presentation at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Comments First Workshop on Interpolation Regularizers and Beyond, NeurIPS 2022 (Spotlight) and Workshop on Distribution Shifts, NeurIPS 2022
Personalizing Sustainable Agriculture with Causal Machine Learning
Comments Accepted for publication and spotlight presentation at Tackling Climate Change with Machine Learning: workshop at NeurIPS 2022
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
Comments NeurIPS 2022 Datasets and Benchmarks. 36th Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Distilling Representations from GAN Generator via Squeeze and Span
Comments 16 pages, NeurIPS 2022
Differentiable Neural Computers with Memory Demon
Comments NeurIPS 2022 Workshop On Memory in Artificial and Real Intelligence
Toward Neural Network Simulation of Variational Quantum Algorithms
Comments To appear at the workshop on AI for Science: Progress and Promises at NeurIPS 2022
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Comments NeurIPS 2022 (Oral)
Discovering ordinary differential equations that govern time-series
Comments Workshop paper at NeurIPS 2022 workshop "AI for Science"
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Comments Published as workshop paper at NeurIPS 2022 (AI for Science)
De novo PROTAC design using graph-based deep generative models
Comments Presented at NeurIPS 2022 AI4Science Workshop
MolE: a molecular foundation model for drug discovery
Comments Accepted at Learning Meaningful Representations of Life workshop, NeurIPS 2022
Batch Active Learning from the Perspective of Sparse Approximation
Comments NeurIPS 2022 Workshop on Human in the Loop Learning
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Comments Published in NeurIPS 2022: Machine Learning and the Physical Sciences Workshop. Code at https://github.com/magrilab/pisr. arXiv admin note: text overlap with arXiv:2210.16215
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
Comments Published in NeurIPS 2022: Machine Learning and the Physical Sciences Workshop. Code at http://github.com/magriLab/PICR
Causal Structural Hypothesis Testing and Data Generation Models
Comments NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research
Neurosymbolic Programming for Science
Comments Neural Information Processing Systems 2022 - AI for science workshop
From Local to Global: Spectral-Inspired Graph Neural Networks
Comments Accepted for publication at the NeurIPS 2022 GLFrontiers Workshop
Focal Modulation Networks
Comments NeurIPS 2022 camera-ready extension
Off-Policy Evaluation with Policy-Dependent Optimization Response
Comments Proceeding of the 2022 Conference on Neural Information Processing Systems
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Comments Published at NeurIPS 2022; Blog: https://ml-jku.github.io/cloob; GitHub: https://github.com/ml-jku/cloob
Federated Multi-Task Learning under a Mixture of Distributions
Comments 77 pages, NeurIPS 2021
A Theoretical Study on Solving Continual Learning
Comments NeurIPS 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Comments NeurIPS 2022
Journal ref Advances in Neural Information Processing Systems (New Orleans), 2022
A General Purpose Neural Architecture for Geospatial Systems
Comments Presented at AI + HADR Workshop at NeurIPS 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Comments NeurIPS 2022
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Comments NeurIPS 2022
Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Comments 6 pages, 2 figures, accepted to Neurips workshop GPSMDMS 2022
