Rumen Dangovski
11 papers · 2020–2024 · 7 conferences · across top CS/AI conferences
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ICML (2)
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Keywords
model compression
(2)
contrastive learning
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large language model
(2)
representation learning
(2)
ensemble learning
(1)
uncertainty quantification
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generative modeling
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parameter efficient
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neural machine translation
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text generation
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masked language model
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autoregressive generation
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language modeling
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document understanding
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parameter-efficient learning
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quantum computing
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model architecture
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efficient computing
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attention mechanism
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self-supervised learning
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Papers
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks
COLING 2024
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
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Alignment of Embeddings
COLING 2024
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning
NIPS 2023
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows
ICML 2023
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
ICML 2023
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
ICLR 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale
AAAI 2021
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications
EMNLP 2020