Marin Soljacic
14 papers · 2017–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🏆 Grand Slam
🧬
Topic Evolution
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(66)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(11)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Techniques
(3)
Application Areas
(2)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Keywords
contrastive learning
(3)
representation learning
(3)
natural gradient
(2)
neural network
(2)
large language model
(2)
ensemble learning
(1)
masked language model
(1)
generative modeling
(1)
text generation
(1)
attention mechanism
(1)
image classification
(1)
autoregressive generation
(1)
language modeling
(1)
document understanding
(1)
parameter efficient
(1)
self-supervised learning
(1)
parameter-efficient learning
(1)
quantum computing
(1)
gradient descent
(1)
uncertainty quantification
(1)
Papers
KAN: Kolmogorov–Arnold Networks
ICLR 2025
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
COLING 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
NeurIPS 2024
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Alignment of Embeddings
COLING 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
ICML 2024
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
NeurIPS 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
ICML 2023
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
NeurIPS 2023
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR 2022
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale
AAAI 2021
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
ICML 2017