← Authors

Joachim Giesen

27 papers · 2012–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ† Keyword Champion (4) 🧬 Topic Evolution πŸ”¬ Deep Specialist (13) πŸ—ƒοΈ Keyword Collector (133) πŸ’Ž Century Club (26) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer

Conferences

AAAI (8) IJCAI (7) NIPS (5) AISTATS (2) ICML (2) ALT (1) PGM (1) UAI (1)

Top co-authors

Soeren Laue (8) SΓΆren Laue (6) Frank Nussbaum (6) Paul Kahlmeyer (5) Matthias Mitterreiter (5) Julien Klaus (4) Niklas Merk (4) Christoph Staudt (4) Mark Blacher (4) Andreas Goral (3)

Keywords

convex optimization (5) automatic differentiation (4) symbolic regression (3) support vector machine (3) tensor network (2) kernel methods (2) constrained optimization (2) optimization algorithm (2) optimization framework (2) symbolic computation (2) high-dimensional setting (2) hyperparameter optimization (2) model counting (2) path tracking algorithm (2) positive semidefinite (2) matrix completion (2) regularization parameter (2) robust principal component analysis (2) dynamic routing (1) item response theory (1)

Papers

Proof Systems for Tensor-based Model Counting AAAI 2026
Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025
Dimension Reduction for Symbolic Regression AAAI 2025
Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024
Serving MPE Queries on Tensor Networks by Computing Derivatives PGM 2024
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines NIPS 2024
Model Counting and Sampling via Semiring Extensions AAAI 2024
Scaling Up Unbiased Search-based Symbolic Regression IJCAI 2024
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption AAAI 2023
Leveraging the Wikipedia Graph for Evaluating Word Embeddings IJCAI 2022
Convexity Certificates from Hessians NIPS 2022
Optimization for Classical Machine Learning Problems on the GPU AAAI 2022
Method of Moments for Topic Models with Mixed Discrete and Continuous Features IJCAI 2021
Robust principal component analysis for generalized multi-view models UAI 2021
A Simple and Efficient Tensor Calculus AAAI 2020
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020
Using Benson’s Algorithm for Regularization Parameter Tracking AAAI 2019
Ising Models with Latent Conditional Gaussian Variables ALT 2019
Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization IJCAI 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019
GENO -- GENeric Optimization for Classical Machine Learning NIPS 2019
Computing Higher Order Derivatives of Matrix and Tensor Expressions NIPS 2018
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015
Sketching the Support of a Probability Measure AISTATS 2014
Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014
Approximating Concavely Parameterized Optimization Problems NIPS 2012
Regularization Paths with Guarantees for Convex Semidefinite Optimization AISTATS 2012