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Payel Das

  1. The Impact of Positional Encoding on Length Generalization in Transformers
    2023/05/31 by Amirhossein Kazemnejad, Inkit Padhi, Kazemnejad, Amirhossein +7 · 4 voices · 72 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  2. Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
    2021/06/17 by Jerret Ross, Ross, Jerret, Brian Belgodere +9 · 54 citations
    Chemistry · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computation and Language (cs.CL) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Various Chemistry Research Topics
  3. Biological Sequence Design with GFlowNets
    2022/03/02 by Moksh Jain, Jain, Moksh, Emmanuel Bengio +22 · 32 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #vaccines and immunoinformatics approaches #Computational Drug Discovery Methods #RNA and protein synthesis mechanisms
  4. Protein Representation Learning by Geometric Structure Pretraining
    2022/03/11 by Zuobai Zhang, Zhang, Zuobai, Minghao Xu +10 · 29 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #Bioinformatics and Genomic Networks
  5. Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
    2018/02/21 by Amit Dhurandhar, Dhurandhar, Amit, Pin‐Yu Chen +10 · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
    2020/04/30 by Pu Zhao, Pin‐Yu Chen, Zhao, Pu +7 · 17 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
    2024/10/09 by Han Shen, Pin‐Yu Chen, Shen, Han +4 · 29 citations
    Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Magnetic confinement fusion research #Nuclear reactor physics and engineering
  8. Theia: Faint objects in motion or the new astrometry frontier
    2017/07/02 by The Theia Collaboration, A. Krone-Martins, Boehm, Celine +186 · 8 citations
    Engineering · Physics and Astronomy · #Astronomy and Astrophysical Research #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Spacecraft Design and Technology #Stellar, planetary, and galactic studies
  9. Larimar: Large Language Models with Episodic Memory Control
    2024/03/18 by Payel Das, Das, Payel, Subhajit Chaudhury +21 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  10. Needle in the Haystack for Memory Based Large Language Models
    2024/07/01 by Elliot Nelson, Nelson, Elliot, Γεώργιος Κόλλιας +7 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  11. Data-Efficient Graph Grammar Learning for Molecular Generation
    2022/03/15 by Minghao Guo, Guo, Minghao, Veronika Thost +9 · 6 citations
    Materials Science · Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Chemical Synthesis and Analysis
  12. ReGen: Reinforcement Learning for Text and Knowledge Base Generation\n using Pretrained Language Models
    2021/08/27 by Pierre Dognin, Inkit Padhi, Dognin, Pierre L. +5 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  13. Reprogramming Pretrained Language Models for Antibody Sequence Infilling
    2022/10/05 by Igor Melnyk, Melnyk, Igor, Vijil Chenthamarakshan +11 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Glycosylation and Glycoproteins Research #Machine Learning (cs.LG) #Monoclonal and Polyclonal Antibodies Research #vaccines and immunoinformatics approaches
  14. A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
    2024/06/07 by Megh Thakkar, Quentin Fournier, Thakkar, Megh +11 · 7 citations
    Computer Science · #Data Management and Algorithms
  15. Accurate Clinical Toxicity Prediction using Multi-task Deep Neural Nets and Contrastive Molecular Explanations
    2022/04/13 by Bhanushee Sharma, Sharma, Bhanushee, Vijil Chenthamarakshan +11 · 3 citations
    Computer Science · Materials Science · Veterinary · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Animal testing and alternatives
  16. AI Maintenance: A Robustness Perspective
    2023/01/08 by Pin‐Yu Chen, Payel Das, Chen, Pin-Yu +1 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)
  17. GP-MoLFormer: A Foundation Model For Molecular Generation
    2024/04/04 by Jerret Ross, Ross, Jerret, Brian Belgodere +10 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Nanomaterials for catalytic reactions
  18. A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
    2019/10/28 by Mingrui Liu, Liu, Mingrui, Wei Zhang +11 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Video Surveillance and Tracking Methods
  19. Towards Better Understanding of Adaptive Gradient Algorithms in\n Generative Adversarial Nets
    2019/12/26 by Mingrui Liu, Youssef Mroueh, Liu, Mingrui +11 · 4 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  20. PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
    2018/10/17 by Payel Das, Kahini Wadhawan, Das, Payel +17 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · #Antimicrobial Peptides and Activities #Biochemical and Structural Characterization #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches
  21. Self-Progressing Robust Training
    2020/12/22 by Minhao Cheng, Pin‐Yu Chen, Cheng, Minhao +9 · 2 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Cardiac Arrest and Resuscitation #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Position: Theory of Mind Benchmarks are Broken for Large Language Models
    2024/12/27 by Matthew Riemer, Riemer, Matthew, Zahra Ashktorab +11 · 7 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  23. A Systematic Study of Joint Representation Learning on Protein Sequences and Structures
    2023/03/11 by Zuobai Zhang, Zhang, Zuobai, Chuanrui Wang +12 · 1 voice · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #cs.LG #q-bio.QM
  24. Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
    2023/01/28 by Zuobai Zhang, Zhang, Zuobai, Minghao Xu +9 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
  25. EDGE -- Dark matter or astrophysics? Breaking dark matter heating degeneracies with HI rotation in faint dwarf galaxies
    2023/08/31 by Martin P. Rey, Rey, Martin P., Matthew D A Orkney +15 · 2 citations
    Physics and Astronomy · #Adaptive optics and wavefront sensing #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Stellar, planetary, and galactic studies
  26. Towards creativity characterization of generative models via group-based subset scanning
    2021/04/01 by Célia Cintas, Payel Das, Cintas, Celia +9 · 1 citation
    Neuroscience · Psychology · #Aesthetic Perception and Analysis #Artificial Intelligence (cs.AI) #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Reprogramming Language Models for Molecular Representation Learning
    2020/12/07 by Ria Vinod, Pin‐Yu Chen, Vinod, Ria +3 · 1 citation
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular Networks (q-bio.MN)
  28. Reprogramming Pretrained Language Models for Protein Sequence Representation Learning
    2023/01/05 by Ria Vinod, Vinod, Ria, Pin‐Yu Chen +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #RNA and protein synthesis mechanisms #vaccines and immunoinformatics approaches
  29. CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
    2020/04/02 by Vijil Chenthamarakshan, Chenthamarakshan, Vijil, Payel Das +19 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches
  30. Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
    2024/02/12 by Yunsheng Tian, Ane Zuniga, Tian, Yunsheng +13 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reservoir Engineering and Simulation Methods
  31. EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
    2025/02/20 by Subhajit Chaudhury, Chaudhury, Subhajit, Payel Das +15 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning in Healthcare #Topic Modeling
  32. The impact of binary stars on the dust and metal evolution of galaxies
    2023/10/23 by Robert M. Yates, Yates, Robert M., David Hendriks +9 · 1 citation
    Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics and Star Formation Studies #Astrophysics of Galaxies (astro-ph.GA) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena
  33. Anniversary AI reflections
    2024/01/24 by Noelia Ferruz, Marinka Zitnik, Marinka Žitnik +9 · 1 voice · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI)
  34. Large Language Models can be Strong Self-Detoxifiers
    2024/10/04 by Ching-Yun Ko, Ko, Ching-Yun, Pin‐Yu Chen +15 · 2 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling
  35. Improving structural plausibility in diffusion-based 3D molecule generation via property-conditioned training with distorted molecules
    2025/01/01 by Lucy Vost, Vijil Chenthamarakshan, Payel Das +1 · 1 voice · 2 citations
    Engineering · Medicine · #Innovative Microfluidic and Catalytic Techniques Innovation #Medical Imaging Techniques and Applications #Microfluidic and Capillary Electrophoresis Applications
  36. The Chemical Diversity of the Metal-Poor Milky Way
    2024/07/26 by Nicole Buckley, Buckley, Nicole, Payel Das +7 · 1 citation
    Physics and Astronomy · #Astro and Planetary Science #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences
  37. Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks?
    2025/03/10 by Payel Das, Ching-Yun Ko, Das, Payel +9 · 1 citation
    Computer Science · #AI-based Problem Solving and Planning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
  38. Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
    2024/11/11 by Megh Thakkar, Quentin Fournier, Thakkar, Megh +11 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Digital Rights Management and Security #FOS: Computer and information sciences
  39. Can Vision-Language Models Reason about AI Edits in Images?
    2026/07/30 by Darsha Udayanga, Pin-Yu Chen, Payel Das +1
    Computer Science · #cs.CV