Maksims Volkovs

ZERO-SHOT TUNING FOR LARGE-SCALE DATA PROCESSING QUERIES

COMPUTING SYSTEMS AND METHODS FOR GENERATING A RESPONSE TO A QUERY BASED ON A CORPUS OF DOCUMENTS

SELF-SUPERVISED LEARNING FOR TABULAR DATA MODELS

CONSISTENCY MODEL WITH DENOISING ERROR

INTER-GROUP CONFORMAL SCORING FAIRNESS WITH SET SIZE CALIBRATION

COMPUTING SYSTEMS AND METHODS FOR LLM-BASED QUERY EXPANSION FOR USE IN INFORMATION RETRIEVAL

META-LEARNING WITH DIVERSE TASKS

META-LEARNING WITH DIVERSE TASKS

NATURAL LANGUAGE GENERATION FOR DATABASE QUERIES

RECOMMENDATION PROCESS FOR RETRIEVAL-AUGMENTED GENERATION (RAG) MODELS

AUTOMATED COMPONENT DEPLOYMENT RECOMMENDATIONS FOR ARTIFICIAL INTELLIGENCE PRODUCTION PIPELINE ORCHESTRATION

AUTOMATED EFFICIENCY DETERMINATION OF COMPONENTS PRIOR TO DEPLOYMENT TO ARTIFICIAL INTELLIGENCE PRODUCTION PIPELINE

COMPUTING SYSTEMS AND METHODS FOR GENERATING A RESPONSE TO A QUERY BASED ON A CORPUS OF DOCUMENTS

COMPUTING SYSTEMS AND METHODS FOR GENERATING A RESPONSE TO A QUERY BASED ON A CORPUS OF DOCUMENTS

COMPUTING SYSTEMS AND METHODS FOR GENERATING A RESPONSE TO A QUERY BASED ON A CORPUS OF DOCUMENTS

COMPUTING SYSTEMS AND METHODS FOR GENERATING A RESPONSE TO A QUERY BASED ON A CORPUS OF DOCUMENTS

AUTOMATED DATA VALIDATION RECOMMENDATIONS TO ENHANCE RELIABILITY OF ARTIFICIAL INTELLIGENCE

OPTIMIZER FOR PROCESSING CORE AFFINITY

FAULT TOLERANT LOGGING FOR ARTIFICIAL INTELLIGENCE APPLICATIONS

ENHANCING RELIABILITY OF ARTIFICIAL INTELLIGENCE OPERATIONAL PIPELINES

RECRUITMENT OF SOFTWARE PROGRAM TO OPTIMAL CORES

OPTIMIZATION OF PROCESSING CORE ASSIGNMENT FOR SOFTWARE USING RUNTIME ATTRIBUTES

DYNAMIC DETERMINATION OF HOST LOCATION FOR LOGGING SYSTEM OF ARTIFICIAL INTELLIGENCE PIPELINES

TOKENIZED DATA VALIDATION IN ARTIFICIAL INTELLIGENCE OPERATIONAL PIPELINES

REDUCING COMPUTATION TIME IN DATA REVALIDATION IN ARTIFICIAL INTELLIGENCE OPERATIONAL PIPELINES

CO-LEARNING OBJECT AND RELATIONSHIP DETECTION WITH DENSITY AWARE LOSS

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE TRAINING AND CHAT

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT WITH ENFORCED ACCESS LEVELS

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT AND ACTION EXECUTION

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT WITH PERSONALIZED RESPONSES

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT USING MULTIPLE DATA SOURCES

COMPUTING SYSTEMS AND METHODS FOR A TEXT-TO-SQL GENERATIVE ARTIFICIAL INTELLIGENCE CHAT

Computing systems and methods for generating a response to a query based on a corpus of documents

COMPUTING SYSTEMS AND METHODS FOR RARE EVENT PREDICTION

CONFIGURABLE PIPELINES FOR TRAINING AND DEPLOYING MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

TEXT-CONDITIONED VIDEO REPRESENTATION

COMPUTING SYSTEMS AND METHODS FOR GENERATING A TRAINING DATASET FOR A RERANKER MODEL

CLASSIFIER-GUIDED DATASET COMPRESSION USING DISTRIBUTION-AWARE SELECTION

IMAGE CLASSIFICATION MODEL TRAINING USING LATENT-BASED CLUSTER FILTERING AND ALIGNED SUBSET SELECTION

SIMILARITY-BASED SUBSET SELECTION OF LABELED IMAGES

SCALING ARTIFICIAL INTELLIGENCE MODELS WITH GRADIENT BOOSTING

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A WEB SERVER

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A LOGGING ADAPTER

CLASS-CONDITIONED SYNTHETIC TABULAR DATA GENERATION

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A MONITORING PIPELINE

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH AN ARTIFACT ADAPTER

COMPUTING SYSTEMS AND METHODS FOR A UNIFIED MACHINE LEARNING PIPELINE WITH A DATA ADAPTER

GENERATING CLASS-BALANCED SYNTHETIC DATA WITH FIDELITY-GUIDED RETRAINING

CONTEXTUAL CLASSIFICATION OF TABULAR DATA FOR SELF-ATTENTION

CLASSIFIER GUIDED CLUSTER DENSITY REDUCTION

TABULAR SELECTION BASED ON DIMENSIONALITY OF MEMORY OF ARTIFICIAL INTELLIGENCE MODEL

LOCAL CONTEXT GENERATION OF TABULAR DATA USING NEAREST NEIGHBORS

WEIGHTED RETRIEVAL FOR IN-CONTEXT TABULAR MODEL

NEAREST NEIGHBOR RETRIEVAL AND FINE-TUNING FOR IN-CONTEXT LEARNING MODEL

CONTEXT RETRIEVAL FOR IN-CONTEXT LEARNING MODEL

EFFICIENT SCALING OF ARTIFICIAL INTELLIGENCE MODELS

DETECTING MODEL MEMORIZATION WITH LOCAL INTRINSIC DIMENSIONALITY

DETECTING MODEL MEMORIZATION WITH LOCAL INTRINSIC DIMENSIONALITY

IMPROVING MODEL EMBEDDING ROBUSTNESS

EVALUATING LOCAL INTRINSIC DIMENSIONALITY FOR DIFFUSION MODELS

LOCAL CONTEXT FOR CONTEXT-BASED TABULAR CLASSIFICATION

LOCAL CONTEXT FOR CONTEXT-BASED TABULAR CLASSIFICATION

SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL TESTING

COMPUTING SYSTEMS AND METHODS FOR MULTI-LABEL CONFORMAL PREDICTION FOR RETRIEVAL AUGMENTED GENERATION

Computing systems and methods for query expansion for use in information retrieval

GENERATIVE MODEL EVALUATION WITH ENCODER TRAINING

PREDICTION OF FUTURE OCCURRENCES OF EVENTS USING ADAPTIVELY TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES AND CONTEXTUAL DATA

RECOMMENDATION WITH NEIGHBOR-AWARE HYPERBOLIC EMBEDDING

EFFICIENT MULTI-MODAL MODELS

EFFICIENT MULTI-MODAL MODELS

EFFICIENT MULTI-MODAL MODELS

WEAKLY SUPERVISED ACTION SELECTION LEARNING IN VIDEO

GENERATING ADAPTIVE TEXTUAL EXPLANATIONS OF OUTPUT PREDICTED BY TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES

DYNAMIC ANALYSIS AND MONITORING OF MACHINE LEARNING PROCESSES

DYNAMIC ANALYSIS AND MONITORING OF MACHINE LEARNING PROCESSES

REGULARIZATION OF RECURRENT MACHINE-LEARNED ARCHITECTURES

PROGRAMMATIC ANALYSIS AND MONITORING OF PIPELINED MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

MODULAR FRAMEWORK FOR TRAINING FORWARD-IN-TIME MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

MONITORING AND VERSIONING OF PIPELINED MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

CONFIGURABLE PIPELINES FOR TRAINING AND DEPLOYING MACHINE LEARNING PROCESSES IN DISTRIBUTED COMPUTING ENVIRONMENTS

AUTOMATED IMAGE RETRIEVAL WITH IMAGE GRAPH

SEMI-LOCAL MODEL IMPORTANCE IN FEATURE SPACE

MULTI-EVENT TIME-SERIES ENCODING

SYSTEMS AND METHODS FOR AUTOMATED COMPROMISE PREDICTION

MODEL DISTILLATION FOR REDUCING ITERATIONS OF NON-AUTOREGRESSIVE DECODERS

Automated image retrieval with image graph

TEXT-CONDITIONED VIDEO REPRESENTATION

DISTANCE-BASED PAIR LOSS FOR COLLABORATIVE FILTERING

Initialization of parameters for machine-learned transformer neural network architectures

EVALUATING BLACK BOX MODELING OF TIME-SERIES DATA

SHARED MODEL TRAINING WITH PRIVACY PROTECTIONS

CO-LEARNING OBJECT AND RELATIONSHIP DETECTION WITH DENSITY AWARE LOSS

TRANSLATION MODEL WITH LEARNED POSITION AND CORRECTIVE LOSS

Generating adaptive textual explanations of output predicted by trained artificial-intelligence processes

Automated image retrieval with graph neural network

PREDICTING OCCURRENCES OF FUTURE EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES AND NORMALIZED FEATURE DATA

Weakly supervised action selection learning in video

PREDICTING OCCURRENCES OF TARGETED ATTRITION EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES

INTERVALS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES

PREDICTING SERVICE-SPECIFIC ATTRITION EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES