309 citations
- Marco Pistoia2 profiles34 · h 24
- Ruslan Shaydulin16 · h 25
- Shouvanik Chakrabarti15 · h 20
- Dylan Herman13 · h 16
- R. Shaydulin12 · h 11
- Yue Sun2 profiles12 · h 15
- Pierre Minssen9 · h 10
- Romina Yalovetzky9 · h 11
- Jeffrey Larson3 profiles8 · h 22
- Niraj Kumar2 profiles8 · h 11
- Changhao Li2 profiles7 · h 13
- Zichang He6 · h 10
- Argonne National LaboratoryUS16 papers
- The University of Texas at AustinUS6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- University of ChicagoUS5 papers
- Amazon (United States)US4 papers
- California Institute of TechnologyUS4 papers
- Cornell UniversityUS4 papers
- IBM Research - Thomas J. Watson Research CenterUS4 papers
- IBM Research - ZurichCH4 papers
- University of Maryland, College ParkUS4 papers
- ETH ZurichCH3 papers
- Morgan Stanley (United States)US3 papers
106 papers
Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
Kiwan Kwon, Kangmin Kim, Hojin Lee +5
Synthetic sequential tabular data are increasingly used for privacy-preserving data sharing and research, yet conventional tabular metrics often overlook temporal structure. Existi…
Physical Self-Supervised Learning: IMU Sensing without Manual Labels
Yuyang Leng, Renyuan Liu, Shaohan Hu +4
Deep neural networks have become a promising approach for IMU-based sensing, but their scalability is fundamentally limited by costly labeled data and poor robustness to heterogene…
What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration
Cencen Liu, Wen Yin, Dongyang Zhang +6
All-in-one image restoration aims to handle diverse degradations within a unified framework. Existing methods commonly encode heterogeneous degradation conditions in a shared laten…
Software Self-Extension with SelfEvolve: an Agentic Architecture for Runtime Code Generation
Md Asif Iqbal Fahim, Oluwadamilola Adebayo, Alessio Ferrari
Traditional self-adaptive systems automatically reconfigure existing components in response to changing requirements, but provide limited support for the generation of novel functi…
Challenges in Synchronous & Remote Collaboration Around Visualization
Matthew Brehmer, Maxime Cordeil, Christophe Hurter +26
We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives…
Perturb Your Data: Paraphrase-Guided Training Data Watermarking
Pranav Shetty, Mirazul Haque, Petr Babkin +3
Training data detection is critical for enforcing copyright and data licensing, as Large Language Models (LLM) are trained on massive text corpora scraped from the internet. We pre…