Demo Data from EDBT 2026 / reviewers in the wild / expert
Anushrut Jignasu
dblp:332/4850
· DBLP profile ↗
5ranked-venue papers
2as first author
5since 2021 · last 2026
0000-0001-6547-0706ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
3 papers |
Geometric modeling and processing · 50% Computational fabrication · 38% Multimedia analysis and retrieval · 12% | |
| Artificial intelligence
3 papers |
Language models and text generation · 44% Deep learning architectures and training · 44% Generative modeling · 13% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation
code generation |
0.8 | 1 | 2024 | Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing · NeurIPS 2024 |
Machine learning › Deep learning architectures and training › scientific machine learning
neural PDE solvers |
0.8 | 1 | 2024 | Neural PDE Solvers for Irregular Domains · Comput. Aided Des. 2024 |
Computational science and engineering › scientific machine learning
physics-informed machine learning |
0.8 | 1 | 2024 | Neural PDE Solvers for Irregular Domains · Comput. Aided Des. 2024 |
Computational fabrication
additive manufacturing |
0.8 | 1 | 2024 | Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing · NeurIPS 2024 |
Machine learning › Generative modeling › diffusion model
latent diffusion model |
0.2 | 1 | 2024 | Latent Diffusion Models for Structural Component Design · Comput. Aided Des. 2024 |
Multimedia analysis and retrieval › multimedia dataset construction
multimodal dataset |
0.2 | 1 | 2024 | Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing · NeurIPS 2024 |
Methods — techniques the papers use, named apart from their topics
neural network · 2.3latent diffusion model · 1.5fine-tuning · 1.5GPT-2 · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Linkify: Learning from interface-augmented assembly graphs
Anushrut Jignasu, Daniele Grandi |
Comput. Aided Des. | 1 |
| 2024 | Slice-100K: A Multimodal Dataset for Extrusion-based 3D PrintingabstractG-code (Geometric code) or RS-274 is the most widely used computer numerical control (CNC) and 3D printing programming language. G-code provides machine instructions for the movement of the 3D printer, especially for the nozzle, stage, and extrusion of material for extrusion-based additive manufacturing. Currently, there does not exist a large repository of curated CAD models along with their corresponding G-code files for additive manufacturing. To address this issue, we present Slice-100K, a first-of-its-kind dataset of over 100,000 G-code files, along with their tessellated CAD model, LVIS (Large Vocabulary Instance Segmentation) categories, geometric properties, and renderings. We build our dataset from triangulated meshes derived from Objaverse-XL and Thingi10K datasets. We demonstrate the utility of this dataset by finetuning GPT-2 on a subset of the dataset for G-code translation from a legacy G-code format (Sailfish) to a more modern, widely used format (Marlin). Our dataset can be found here. Slice-100K will be the first step in developing a multimodal foundation model for digital manufacturing. Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy |
NeurIPS | 1 |
| 2024 | Latent Diffusion Models for Structural Component Design
Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy |
Comput. Aided Des. | 3 |
| 2024 | Neural PDE Solvers for Irregular Domains
Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy |
Comput. Aided Des. | 7 |
| 2023 | Deep learning-based 3D multigrid topology optimization of manufacturable designs
Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton M. Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy |
Eng. Appl. Artif. Intell. | 2 |