Regina Barzilay

Identifying biological perturbation targets through causal differential networks ICML 2025 Composing Unbalanced Flows for Flexible Docking and Relaxation ICLR 2025 Conformal Language Modeling ICLR 2024 Improving protein optimization with smoothed fitness landscapes ICLR 2024 CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes ICML 2024 Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design ICML 2024 Deep Confident Steps to New Pockets: Strategies for Docking Generalization ICLR 2024 Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models ICLR 2024 Dirichlet Flow Matching with Applications to DNA Sequence Design ICML 2024 Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design ICML 2024 Efficiently Controlling Multiple Risks with Pareto Testing ICLR 2023 DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking ICLR 2023 Predictive Chemistry Augmented with Text Retrieval EMNLP 2023 Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem ICLR 2023 SE(3) diffusion model with application to protein backbone generation ICML 2023 Crystal Diffusion Variational Autoencoder for Periodic Material Generation ICLR 2022 Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking ICLR 2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design ICLR 2022 Torsional Diffusion for Molecular Conformer Generation NIPS 2022 Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021 Learning Graph Models for Retrosynthesis Prediction NIPS 2021 GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles NIPS 2021 Nutri-bullets: Summarizing Health Studies by Composing Segments AAAI 2021 Nutri-bullets Hybrid: Consensual Multi-document Summarization NAACL 2021 Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence NAACL 2021 Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers ICML 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis CVPR 2021 Automatic Fact-Guided Sentence Modification AAAI 2020 Blank Language Models EMNLP 2020 Few-shot Text Classification with Distributional Signatures ICLR 2020 CapWAP: Image Captioning with a Purpose EMNLP 2020 Capturing Greater Context for Question Generation AAAI 2020 Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B ACL 2019 Generative Models for Graph-Based Protein Design NIPS 2019 Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers IJCNLP 2019 Learning Multimodal Graph-to-Graph Translation for Molecule Optimization ICLR 2019 Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers EMNLP 2019 GraphIE: A Graph-Based Framework for Information Extraction NAACL 2019 Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing NAACL 2019 Inferring Which Medical Treatments Work from Reports of Clinical Trials NAACL 2019 Towards Debiasing Fact Verification Models IJCNLP 2019 Towards Debiasing Fact Verification Models EMNLP 2019 Junction Tree Variational Autoencoder for Molecular Graph Generation ICML 2018 Multi-Source Domain Adaptation with Mixture of Experts EMNLP 2018 Deriving Machine Attention from Human Rationales EMNLP 2018 Style Transfer from Non-Parallel Text by Cross-Alignment NIPS 2017 Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network NIPS 2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ACL 2017 Deriving Neural Architectures from Sequence and Graph Kernels ICML 2017 Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ACL 2017 Rationalizing Neural Predictions EMNLP 2016 Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge EMNLP 2016 Learning to refine text based recommendations EMNLP 2016 Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning EMNLP 2016 Making Dependency Labeling Simple, Fast and Accurate NAACL 2016 Semi-supervised Question Retrieval with Gated Convolutions NAACL 2016 Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings NAACL 2016 Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing NAACL 2015 Language Understanding for Text-based Games using Deep Reinforcement Learning EMNLP 2015 Machine Comprehension with Discourse Relations IJCNLP 2015 Molding CNNs for text: non-linear, non-consecutive convolutions EMNLP 2015 Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing EMNLP 2015 Machine Comprehension with Discourse Relations ACL 2015 High-Order Low-Rank Tensors for Semantic Role Labeling NAACL 2015 Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees ACL 2014 Greed is Good if Randomized: New Inference for Dependency Parsing EMNLP 2014 Morphological Segmentation for Keyword Spotting EMNLP 2014 Low-Rank Tensors for Scoring Dependency Structures ACL 2014 Learning to Automatically Solve Algebra Word Problems ACL 2014 Using Semantic Unification to Generate Regular Expressions from Natural Language NAACL 2013 Transfer Learning for Constituency-Based Grammars ACL 2013 From Natural Language Specifications to Program Input Parsers ACL 2013 Learning to Map into a Universal POS Tagset CONLL 2012 Learning to Map into a Universal POS Tagset EMNLP 2012 Multi-Event Extraction Guided by Global Constraints NAACL 2012 Selective Sharing for Multilingual Dependency Parsing ACL 2012 Learning High-Level Planning from Text ACL 2012 Unsupervised Morphology Rivals Supervised Morphology for Arabic MT ACL 2012 Learning to Behave by Reading EACL 2012 Modeling Syntactic Context Improves Morphological Segmentation CONLL 2011 In-domain Relation Discovery with Meta-constraints via Posterior Regularization ACL 2011 Event Discovery in Social Media Feeds ACL 2011 Content Models with Attitude ACL 2011 Learning to Win by Reading Manuals in a Monte-Carlo Framework ACL 2011 Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing EMNLP 2011 Incorporating Content Structure into Text Analysis Applications EMNLP 2010 Simple Type-Level Unsupervised POS Tagging EMNLP 2010 A Statistical Model for Lost Language Decipherment ACL 2010 Using Universal Linguistic Knowledge to Guide Grammar Induction EMNLP 2010 Reading between the Lines: Learning to Map High-Level Instructions to Commands ACL 2010 Unsupervised Multilingual Grammar Induction IJCNLP 2009 Reinforcement Learning for Mapping Instructions to Actions IJCNLP 2009 Adding More Languages Improves Unsupervised Multilingual Part-of-Speech Tagging: a Bayesian Non-Parametric Approach NAACL 2009 Automatically Generating Wikipedia Articles: A Structure-Aware Approach IJCNLP 2009 Automatically Generating Wikipedia Articles: A Structure-Aware Approach ACL 2009 Reinforcement Learning for Mapping Instructions to Actions ACL 2009 Unsupervised Multilingual Grammar Induction ACL 2009 Global Models of Document Structure using Latent Permutations NAACL 2009 Bayesian Unsupervised Topic Segmentation EMNLP 2008 Gestural Cohesion for Topic Segmentation ACL 2008 Unsupervised Multilingual Learning for POS Tagging EMNLP 2008 Unsupervised Multilingual Learning for Morphological Segmentation ACL 2008 Learning Document-Level Semantic Properties from Free-Text Annotations ACL 2008 Making Sense of Sound: Unsupervised Topic Segmentation over Acoustic Input ACL 2007 Generating a Table-of-Contents ACL 2007 Incremental Text Structuring with Online Hierarchical Ranking CONLL 2007 Multiple Aspect Ranking Using the Good Grief Algorithm NAACL 2007 Randomized Decoding for Selection-and-Ordering Problems NAACL 2007 Incremental Text Structuring with Online Hierarchical Ranking EMNLP 2007 Aggregation via Set Partitioning for Natural Language Generation NAACL 2006 Minimum Cut Model for Spoken Lecture Segmentation ACL 2006 Minimum Cut Model for Spoken Lecture Segmentation COLING 2006 Inducing Temporal Graphs EMNLP 2006 Paraphrasing for Automatic Evaluation NAACL 2006 Collective Content Selection for Concept-to-Text Generation EMNLP 2005 Modeling Local Coherence: An Entity-Based Approach ACL 2005 Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization NAACL 2004 Columbia’s Newsblaster: New Features and Future Directions NAACL 2003 Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment NAACL 2003 Sentence Alignment for Monolingual Comparable Corpora EMNLP 2003 Bootstrapping Lexical Choice via Multiple-Sequence Alignment EMNLP 2002 Extracting Paraphrases from a Parallel Corpus ACL 2001