Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models
Paper
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2411.02083
•
Published
Jannis Born
jannisborn
AI & ML interests
AI4Science, Byte Language Models, Quantum ML
Recent Activity
authored
a paper
6 days ago
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for
Language Models
authored
a paper
6 days ago
Multiscale Byte Language Models -- A Hierarchical Architecture for
Causal Million-Length Sequence Modeling
Organizations
jannisborn's activity
authored
13
papers
6 days ago
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
Paper
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1904.11223
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Published
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
Paper
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2502.14553
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Published
Quantum Theory and Application of Contextual Optimal Transport
Paper
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2402.14991
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Published
Towards quantum-enabled cell-centric therapeutics
Paper
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2307.05734
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Published
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
Paper
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2207.03928
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Published
Domain-agnostic and Multi-level Evaluation of Generative Models
Paper
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2301.08750
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Published
Regression Transformer: Concurrent sequence regression and generation for molecular language modeling
Paper
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2202.01338
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Published
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
Paper
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2105.03323
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Published
POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)
Paper
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2004.12084
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Published
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
Paper
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2009.06116
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Published
PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models
Paper
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2005.13285
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Published
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
Paper
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1811.06802
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Published
updated
7
Spaces
12 days ago
2
Crystal properties
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8
Regression Transformer
💡
Generate or predict molecular structures with properties
MOSES
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1
PaccMann^GP
💡
Generate molecular compounds based on property goals
2
TorchDrug
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1
MoLeR
💡
Generate molecular structures using scaffolds and seed molecules
14
Multitask Text and Chemistry T5
💡
Generate text based on chemistry and language tasks