CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
Comments Accepted to the Machine Learning and the Physical Sciences Workshop at NeurIPS 2022
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
Learning Feynman Diagrams using Graph Neural Networks
Journal ref Neurips Machine Learning and the Physical Sciences, 2022
Learning Integrable Dynamics with Action-Angle Networks
Comments Accepted at Machine Learning and the Physical Sciences workshop at NeurIPS 2022
Conditional Progressive Generative Adversarial Network for satellite image generation
Comments Published at the SyntheticData4ML Neurips workshop
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Comments Presented at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
De-noising non-Gaussian fields in cosmology with normalizing flows
Comments 16 pages, 8 figures, extended version of NeurIPS 2022 Physical Sciences workshop submission
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning
Comments Accepted at ICBINB workshop @ NeurIPS 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization
Comments Accepted at NeurIPS 2022. Code and data available at https://github.com/rehg-lab/dope_selfsup
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
Journal ref SVRHM 2022 Workshop @ NeurIPS (Oral)
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Comments NeurIPS 2022
Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
Comments NeurIPS 2022 : ENLSP
SuNeRF: Validation of a 3D Global Reconstruction of the Solar Corona Using Simulated EUV Images
Comments Accepted at Machine Learning and the Physical Sciences workshop, NeurIPS 2022
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Comments Accepted to the NeurIPS 2022 Workshops on Distribution Shifts and Offline Reinforcement Learning
Plausible Adversarial Attacks on Direct Parameter Inference Models in Astrophysics
Comments Accepted submission to Machine Learning and the Physical Sciences workshop, NeurIPS 2022
BadPrompt: Backdoor Attacks on Continuous Prompts
Comments Accepted at NeurIPS 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data
Comments Accepted to NeurIPS 2022
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
Comments 10 pages, Neural Information Processing Systems 2022
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images
Comments 5 apges, 8 figures, Machine Learning for Structural Biology Workshop, NeurIPS 2022
How Crucial is Transformer in Decision Transformer?
Comments 9 pages, 6 figures, Foundation Models for Decision Making Workshop at Neural Information Processing Systems, 2022
Unsupervised Wildfire Change Detection based on Contrastive Learning
Comments 5 pages (+3 in appendix), 3 figures (+2 in appendix). Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI+HADR 2022), 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Where to Pay Attention in Sparse Training for Feature Selection?
Comments Accepted at Neural Information Processing Systems (NeurIPS) 2022
Transform Once: Efficient Operator Learning in Frequency Domain
Comments Published at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Supervised Pretraining for Molecular Force Fields and Properties Prediction
Comments AI4Science Workshop at NeurIPS 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Comments Accepted at NeurIPS 2022. https://openreview.net/forum?id=UrAYT2QwOX8
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Comments Accepted by NeurIPS 2022 (Spotlight)
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Comments NeurIPS 2022 - Code available at https://github.com/gallego-posada/constrained_sparsity
u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality
Comments NeurIPS 2022
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
Comments NeurIPS 2022 camera-ready version
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
Comments v2: NeurIPS 2022 camera ready version
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Comments Accepted to NeurIPS 2022
