NeurIPS 2022 Workshop SyntheticData4ML Submissions

Fair Synthetic Data Does not Necessarily Lead to Fair Models
Yam Eitan, Nathan Cavaglione, Michael Arbel, Samuel Cohen
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
FARE: Provably Fair Representation Learning
Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
HyperTime: Implicit Neural Representations for Time Series
Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Exploring Biases in Facial Expression Analysis using Synthetic Faces
Ritik Raina, Miguel Monares, Mingze Xu, Sarah Fabi, Xiaojing Xu, Lehan Li, Will Sumerfield, Jin Gan, Virginia R. de Sa
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Causal Structural Hypothesis Testing and Data Generation Models
Sunay Gajanan Bhat, Omead Pooladzandi, Jeffrey Jiang, Gregory Pottie
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Conditional Progressive Generative Adversarial Network for satellite image generation
Renato Paulo Da Costa Cardoso, Sofia Vallecorsa, Edoardo Nemni
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment
Lucia Morris, Tori Qiu, Nikhil Raghuraman
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
MAQA: A Multimodal QA Benchmark for Negation
Judith Yue Li, Aren Jansen, Qingqing Huang, Ravi Ganti, Joonseok Lee, Dima Kuzmin
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Renbo Zhao, Niccolo Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Mind Your Step: Continuous Conditional GANs with Generator Regularization
Yunkai Zhang, Yufeng Zheng, Xueying Ma, Siyuan Teng, Zeyu Zheng
- 03 Oct 2022 (modified: 06 Dec 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Medical Scientific Table-to-Text Generation with Synthetic Data under Data Sparsity Constraint
Heng-Yi Wu, Jingqing Zhang, Julia Ive, Tong Li, Vibhor Gupta, Bingyuan Chen, Yike Guo
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark
Kanghoon Lee, Youngjoon Park, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Sungryull Sohn, Minu Kim, Hanbum Ko, Moontae Lee, Honglak Lee, Kyunghoon Kim, Euihyuk Kim, Seonggeon Cho, Jaesang Min, Woohyung Lim
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Counterfactual Fairness in Synthetic Data Generation
Mahed Abroshan, Mohammad Mahdi Khalili, Andrew Elliott
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders
Ciro Antonio Mami, Andrea Coser, Eric Medvet, Alexander Theodorus Petrus Boudewijn, Michael Whitworth, Marco Volpe, Gabriele Sgroi, Borut Svara, Daniele Panfilo, Sebastiano Saccani
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Visual Pre-training for Navigation: What Can We Learn from Noise?
Yanwei Wang, Ching-Yun Ko, Pulkit Agrawal
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Secure Multiparty Computation for Synthetic Data Generation from Distributed Data
Mayana Pereira, Sikha Pentyala, Martine De Cock, Anderson Nascimento, Rafael de Sousa
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Generating Synthetic Datasets by Interpolating along Generalized Geodesics
Jiaojiao Fan, David Alvarez-Melis
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
HandsOff: Labeled Dataset Generation with No Additional Human Annotations
Austin Xu, Mariya I. Vasileva, Arjun Seshadri
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
Florimond Houssiau, James Jordon, Samuel N Cohen, Owen Daniel, Andrew Elliott, James Geddes, Callum Mole, Camila Rangel-Smith, Lukasz Szpruch
- 03 Oct 2022 (modified: 14 Apr 2024)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Approaches to Optimizing Medical Treatment Policy using Temporal Causal Model-Based Simulation
Robert Horton, Maryam Tavakoli Hosseinabadi, John-Mark Agosta
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Random Walk based Conditional Generative Model for Temporal Networks with Attributes
Stratis Limnios, Andrew Elliott, Mihai Cucuringu, Gesine Reinert
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
Improving dermatology classifiers across populations using images generated by large diffusion models
Luke William Sagers, James Allen Diao, Matthew Groh, Pranav Rajpurkar, Adewole Adamson, Arjun Kumar Manrai
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
PRISIM: Privacy Preserving Synthetic Data Simulator
Subhrajit Samanta, Shantanu Chandra, PKS Prakash, Srinivas S Alva, Srinivas Chilukuri
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
On the legal nature of synthetic data
Cesar Augusto Fontanillo López, abdullah elbi
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel
- 03 Oct 2022 (modified: 05 May 2023)
- Neurips 2022 SyntheticData4ML
- Readers: Everyone