Marin Soljacic
14 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (5)
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Taxonomy Completionist
(31)
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Interdisciplinary Bridge
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Grand Slam
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Dynamic Duo
(10)
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Prolific Year
(5)
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Keyword Collector
(55)
π₯
Unstoppable
(5)
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Century Club
(14)
Conferences
ICML (4)
NIPS (4)
COLING (2)
ICLR (2)
AAAI (1)
NAACL (1)
Top co-authors
Keywords
contrastive learning
(2)
large language model
(2)
representation learning
(2)
generative modeling
(1)
ensemble learning
(1)
uncertainty quantification
(1)
text generation
(1)
attention mechanism
(1)
model pruning
(1)
masked language model
(1)
autoregressive generation
(1)
language modeling
(1)
document understanding
(1)
quantum computing
(1)
parameter efficient
(1)
parameter-efficient learning
(1)
natural gradient
(1)
gradient descent
(1)
self-supervised learning
(1)
unsupervised learning
(1)
Papers
KAN: KolmogorovβArnold Networks
ICLR 2025
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
NIPS 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NIPS 2024
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision
ICML 2024
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
COLING 2024
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Alignment of Embeddings
COLING 2024
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
NIPS 2023
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
NIPS 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 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