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Joydeep Ghosh

Identifiers

  • name variant Joydeep Ghosh 0.60 · backfill

Papers (83)

  1. MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling cs.LG · 2026 · author #6
  2. RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation cs.IR · 2026 · author #5
  3. Goal-Conditioned Supervised Learning for LLM Fine-Tuning cs.LG · 2026 · author #4
  4. Simulation study of neutral tungsten emissions for fusion applications physics.plasm-ph · 2025 · author #7
  5. PRISM: A MATLAB-Based Application for Structured Probe Data Management and Visualization in Tokamak Diagnostics physics.plasm-ph · 2025 · author #4
  6. A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health cs.CL · 2025 · author #12
  7. Identification and Characterization of a New Disruption Regime in ADITYA-U Tokamak physics.plasm-ph · 2025 · author #25
  8. OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration cs.MA · 2025 · author #3
  9. Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning cs.LG · 2025 · author #6
  10. A multi-purpose reciprocating probe drive system for studying the effect of gas-puffs on edge plasma dynamics in the ADITYA-U tokamak physics.plasm-ph · 2025 · author #27
  11. Stabilization of sawteeth instability by short gas pulse injection in ADITYA-U tokamak physics.plasm-ph · 2025 · author #31
  12. Goal-Conditioned Supervised Learning for Multi-Objective Recommendation cs.LG · 2024 · author #4
  13. MHD activity induced coherent mode excitation in the edge plasma region of ADITYA-U Tokamak physics.plasm-ph · 2024 · author #31
  14. Achieving Fairness Across Local and Global Models in Federated Learning cs.LG · 2024 · author #3
  15. SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors cs.LG · 2024 · author #6
  16. Exploring Explainability in Video Action Recognition cs.CV · 2024 · author #5
  17. Novel Node Category Detection Under Subpopulation Shift cs.LG · 2024 · author #5
  18. Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes cs.CL · 2024 · author #7
  19. Federated Learning for Estimating Heterogeneous Treatment Effects cs.LG · 2024 · author #2
  20. Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings cs.LG · 2023 · author #2
  21. Behaviour of Ion Acoustic Soliton in a two-electron temperature plasmas of Multi-pole line cusp Plasma Device (MPD) physics.plasm-ph · 2023 · author #4
  22. Intermediate Entity-based Sparse Interpretable Representation Learning cs.CL · 2022 · author #3
  23. FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations cs.LG · 2022 · author #4
  24. Designing Robust Transformers using Robust Kernel Density Estimation cs.LG · 2022 · author #5
  25. FEAMOE: Fair, Explainable and Adaptive Mixture of Experts cs.LG · 2022 · author #3
  26. Split Localized Conformal Prediction stat.ML · 2022 · author #3
  27. Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering cs.LG · 2022 · author #4
  28. Federated Self-supervised Learning for Heterogeneous Clients cs.LG · 2022 · author #3
  29. Architecture Agnostic Federated Learning for Neural Networks cs.LG · 2022 · author #4
  30. Dynamic Combination of Heterogeneous Models for Hierarchical Time Series cs.LG · 2021 · author #3
  31. Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection cs.CL · 2021 · author #3
  32. Biomedical Interpretable Entity Representations cs.CL · 2021 · author #4
  33. Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series cs.LG · 2021 · author #3
  34. Biased Models Have Biased Explanations cs.LG · 2020 · author #3
  35. Model-Agnostic Explanations using Minimal Forcing Subsets cs.LG · 2020 · author #2
  36. FaiR-N: Fair and Robust Neural Networks for Structured Data cs.LG · 2020 · author #4
  37. Understanding the working of a B-dot probe physics.app-ph · 2020 · author #4
  38. Explainable Machine Learning in Deployment cs.LG · 2019 · author #7
  39. Vehicular Multi-object Tracking with Persistent Detector Failures cs.RO · 2019 · author #2
  40. Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems cs.LG · 2019 · author #5
  41. Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval cs.IR · 2019 · author #2
  42. On Single Source Robustness in Deep Fusion Models cs.LG · 2019 · author #2
  43. CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models cs.LG · 2019 · author #3
  44. Scaling Data Association for Hypothesis-Oriented MHT eess.SP · 2019 · author #2
  45. Explaining Deep Classification of Time-Series Data with Learned Prototypes cs.LG · 2019 · author #3
  46. Effect of Inhomogeneous magnetic field on Plasma generation in a low magnetic field helicon discharge physics.plasm-ph · 2019 · author #5
  47. Interpreting Black Box Predictions using Fisher Kernels cs.LG · 2018 · author #3
  48. PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization cs.LG · 2018 · author #4
  49. xGEMs: Generating Examplars to Explain Black-Box Models cs.LG · 2018 · author #4
  50. Measurement-wise Occlusion in Multi-object Tracking cs.CV · 2018 · author #2
  51. Nonparametric Bayesian Sparse Graph Linear Dynamical Systems stat.ML · 2018 · author #2
  52. Effect of Tensile Strain in GaN Layer on the Band Offsets and 2DEG Density in AlGaN/GaN Heterostructures physics.app-ph · 2017 · author #3
  53. Relaxed Oracles for Semi-Supervised Clustering stat.ML · 2017 · author #2
  54. Semi-Supervised Active Clustering with Weak Oracles stat.ML · 2017 · author #2
  55. Optimal Alarms for Vehicular Collision Detection stat.ML · 2017 · author #2
  56. Boosting Variational Inference: an Optimization Perspective cs.LG · 2017 · author #3
  57. Scalable Greedy Feature Selection via Weak Submodularity stat.ML · 2017 · author #5
  58. Graphical RNN Models cs.NE · 2016 · author #3
  59. Preference Completion from Partial Rankings stat.ML · 2016 · author #3
  60. Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data stat.AP · 2016 · author #3
  61. Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization stat.ML · 2016 · author #4
  62. Information Projection and Approximate Inference for Structured Sparse Variables stat.ML · 2016 · author #2
  63. ACDC: $\alpha$-Carving Decision Chain for Risk Stratification stat.ML · 2016 · author #3
  64. Generalized Linear Models for Aggregated Data stat.ML · 2016 · author #2
  65. Monotone Retargeting for Unsupervised Rank Aggregation with Object Features stat.ML · 2016 · author #2
  66. Unified View of Matrix Completion under General Structural Constraints stat.ML · 2016 · author #3
  67. Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices stat.ML · 2015 · author #2
  68. Exponential Family Matrix Completion under Structural Constraints stat.ML · 2015 · author #3
  69. DPM: A State Space Model for Large-Scale Direct Marketing stat.AP · 2015 · author #3
  70. A Constrained Matrix-Variate Gaussian Process for Transposable Data stat.ML · 2014 · author #3
  71. EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation cs.AR · 2014 · author #3
  72. Perturbed Gibbs Samplers for Synthetic Data Release stat.ML · 2013 · author #2
  73. Constrained Bayesian Inference for Low Rank Multitask Learning cs.LG · 2013 · author #2
  74. Risk Prediction of a Multiple Sclerosis Diagnosis stat.AP · 2013 · author #2
  75. The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking cs.LG · 2013 · author #3
  76. Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning cs.LG · 2012 · author #3
  77. Dating Texts without Explicit Temporal Cues cs.CL · 2012 · author #4
  78. Learning to Rank With Bregman Divergences and Monotone Retargeting cs.LG · 2012 · author #3
  79. A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles cs.LG · 2012 · author #3
  80. An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers cs.LG · 2012 · author #3
  81. Robust Combining of Disparate Classifiers through Order Statistics cs.LG · 1999 · author #2
  82. Linear and Order Statistics Combiners for Pattern Classification cs.NE · 1999 · author #2
  83. Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer cs.NE · 1999 · author #3

Mentions

  • 2509.00878 #7 · arxiv_oai · confidence 0.70 Joydeep Ghosh
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  • cs/9905013 #2 · arxiv_oai · confidence 0.70 Joydeep Ghosh
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Frequent Coauthors