Stephen P Roberts
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Stephen P Robertscomputer-science Degrees
Computer Science
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Computational Linguistics
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Machine Learning
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Artificial Intelligence
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Computer Science
Stephen P Roberts's Degrees
- PhD Computer Science University of Oxford
- Masters Artificial Intelligence Stanford University
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(Suggest an Edit or Addition)Stephen P Roberts's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Short-amplitude high-frequency wing strokes determine the aerodynamics of honeybee flight. (2005) (203)
- Gene transcription during exposure to, and recovery from, cold and desiccation stress in Drosophila melanogaster (2007) (193)
- Ecological and Environmental Physiology of Insects (2012) (188)
- Flight respiration and energetics. (2000) (184)
- Acclimation, shock and hardening in the cold (2005) (131)
- DeepLOB: Deep Convolutional Neural Networks for Limit Order Books (2018) (128)
- Energy metabolism, enzymatic flux capacities, and metabolic flux rates in flying honeybees. (1996) (124)
- Age and natural metabolically-intensive behavior affect oxidative stress and antioxidant mechanisms (2008) (120)
- The effects of carbon dioxide anesthesia and anoxia on rapid cold-hardening and chill coma recovery in Drosophila melanogaster. (2006) (119)
- Cold rearing improves cold-flight performance in Drosophila via changes in wing morphology (2008) (117)
- Deep Reinforcement Learning for Trading (2019) (110)
- Achievement of Thermal Stability by Varying Metabolic Heat Production in Flying Honeybees (1996) (104)
- Effects of load type (pollen or nectar) and load mass on hovering metabolic rate and mechanical power output in the honey bee Apis mellifera (2003) (97)
- The effects of age and behavioral development on honey bee (Apis mellifera) flight performance (2009) (91)
- Natural hyperthermia and expression of the heat shock protein Hsp70 affect developmental abnormalities in Drosophila melanogaster (1999) (77)
- Allometry of kinematics and energetics in carpenter bees (Xylocopa varipuncta) hovering in variable-density gases (2004) (62)
- Molecular thermal telemetry of free-ranging adult Drosophila melanogaster (2000) (59)
- Changes in thermotolerance and Hsp70 expression with domestication in Drosophila melanogaster (2001) (58)
- Effects of Ambient Oxygen Tension on Flight Performance, Metabolism, and Water Loss of the Honeybee (1997) (58)
- Honey bees as a model for understanding mechanisms of life history transitions. (2005) (55)
- Mechanisms of Thermoregulation in Flying Bees (1998) (47)
- Muscle biochemistry and the ontogeny of flight capacity during behavioral development in the honey bee, Apis mellifera (2005) (46)
- Changing fitness consequences of hsp70 copy number in transgenic Drosophila larvae undergoing natural thermal stress (2000) (43)
- Enhancing Time Series Momentum Strategies Using Deep Neural Networks (2019) (36)
- Deep Learning for Portfolio Optimization (2020) (33)
- Effects of flight activity and age on oxidative damage in the honey bee, Apis mellifera (2018) (33)
- Dropping like Flies: Environmentally Induced Impairment and Protection of Locomotor Performance in Adult Drosophila melanogaster (2003) (32)
- Hovering Flight in the Honeybee Apis mellifera: Kinematic Mechanisms for Varying Aerodynamic Forces (2014) (31)
- Mechanisms of thermal balance in flying Centris pallida (Hymenoptera: Anthophoridae). (1998) (31)
- Gender differences and a new adult eukaryotic record for upper thermal tolerance in the desert moss Syntrichia caninervis (2009) (31)
- Thermal Disruption of Mushroom Body Development and Odor Learning in Drosophila (2007) (30)
- Synchrotron X-Ray Visualisation of Ice Formation in Insects during Lethal and Non-Lethal Freezing (2009) (30)
- The effect of selection for desiccation resistance on cold tolerance of Drosophila melanogaster (2007) (28)
- Explicit Regularisation in Gaussian Noise Injections (2020) (28)
- The effects of age and lifetime flight behavior on flight capacity in Drosophila melanogaster (2014) (27)
- BDLOB: Bayesian Deep Convolutional Neural Networks for Limit Order Books (2018) (27)
- Entropic Trace Estimates for Log Determinants (2017) (25)
- The effects of artificial wing wear on the flight capacity of the honey bee Apis mellifera. (2014) (24)
- Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction (2019) (24)
- Effect of heat shock, pretreatment and hsp70 copy number on wing development in Drosophila melanogaster (2003) (23)
- Environmental effects on Drosophila brain development and learning (2018) (23)
- Enhancing Time-Series Momentum Strategies Using Deep Neural Networks (2019) (21)
- Effects of Flight on Gene Expression and Aging in the Honey Bee Brain and Flight Muscle (2012) (19)
- Improving VAEs' Robustness to Adversarial Attack (2019) (18)
- Hierarchical Indian buffet neural networks for Bayesian continual learning (2019) (18)
- MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning (2019) (18)
- Adversarial Robustness Guarantees for Classification with Gaussian Processes (2019) (18)
- A General Framework for Fair Regression (2018) (17)
- Towards understanding the true loss surface of deep neural networks using random matrix theory and iterative spectral methods (2019) (17)
- Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems (2021) (16)
- One-Shot Transfer Learning of Physics-Informed Neural Networks (2021) (16)
- Towards a Theoretical Understanding of the Robustness of Variational Autoencoders (2020) (15)
- Environmental hypoxia influences hemoglobin subunit composition in the branchiopod crustacean Triops longicaudatus (2005) (15)
- Same State, Different Task: Continual Reinforcement Learning without Interference (2021) (14)
- MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting (2018) (13)
- Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders (2019) (11)
- Safety Guarantees for Planning Based on Iterative Gaussian Processes (2019) (10)
- Techniques and Applications (2012) (10)
- Building Cross-Sectional Systematic Strategies by Learning to Rank (2020) (10)
- Thresholded ConvNet ensembles: neural networks for technical forecasting (2018) (10)
- Extending Deep Learning Models for Limit Order Books to Quantile Regression (2019) (10)
- Robustness Quantification for Classification with Gaussian Processes (2019) (10)
- Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training. (2020) (9)
- Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL (2021) (9)
- Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (2021) (9)
- Heat shock proteins and their role in generating, maintaining and even preventing alternative insect phenotypes. (2009) (8)
- Gadam: Combining Adaptivity with Iterate Averaging Gives Greater Generalisation (2020) (8)
- Balancing Reconstruction Quality and Regularisation in ELBO for VAEs (2019) (8)
- An information and field theoretic approach to the grand canonical ensemble (2017) (7)
- Revisiting Design Choices in Model-Based Offline Reinforcement Learning (2021) (6)
- The Deep Learning Limit: are negative neural network eigenvalues just noise? (2019) (6)
- Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective (2021) (6)
- Variational integrator graph networks for learning energy-conserving dynamical systems. (2020) (6)
- Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels (2019) (6)
- Indian Buffet Neural Networks for Continual Learning (2019) (6)
- VIGN: Variational Integrator Graph Networks (2020) (5)
- Iterate Averaging Helps: An Alternative Perspective in Deep Learning (2020) (5)
- Deep Learning for Portfolio Optimisation (2020) (5)
- Towards tractable optimism in model-based reinforcement learning (2020) (5)
- Relaxed-Responsibility Hierarchical Discrete VAEs (2020) (5)
- Entropic determinants of massive matrices (2017) (5)
- Practical Bayesian Learning of Neural Networks via Adaptive Subgradient Methods (2018) (5)
- Effects of flight behaviour on body temperature and kinematics during inter‐male mate competition in the solitary desert bee Centris pallida (2005) (4)
- Semi-unsupervised Learning of Human Activity using Deep Generative Models (2018) (4)
- Entropic Spectral Learning for Large-Scale Graphs (2018) (4)
- Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels (2019) (4)
- Disentangling Improves VAEs' Robustness to Adversarial Attacks (2019) (4)
- Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio (2020) (3)
- Adversarial Robustness Guarantees for Gaussian Processes (2021) (3)
- UNCLEAR: A Straightforward Method for Continual Reinforcement Learning (2020) (3)
- Learning Bijective Feature Maps for Linear ICA (2020) (3)
- Honeybee thermoregulation [5] (multiple letters) (1997) (3)
- Explaining the Adaptive Generalisation Gap (2020) (3)
- Safety Guarantees for Iterative Predictions with Gaussian Processes (2020) (2)
- Ontogeny of physiological regulatory mechanisms: fitting into the environment. Introduction to the symposium. (2005) (2)
- Reading the Tea Leaves: A Neural Network Perspective on Technical Trading (2017) (2)
- Investment Sizing with Deep Learning Prediction Uncertainties for High-Frequency Eurodollar Futures Trading. (2020) (2)
- Iterative Averaging in the Quest for Best Test Error (2020) (2)
- Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (2021) (2)
- WiSE-ALE: Wide Sample Estimator for Aggregate Latent Embedding (2019) (2)
- Gradient descent in Gaussian random fields as a toy model for high-dimensional optimisation in deep learning (2018) (2)
- Learning General World Models in a Handful of Reward-Free Deployments (2022) (2)
- A Maximum Entropy approach to Massive Graph Spectra (2019) (1)
- The Surprising Effectiveness of Latent World Models for Continual Reinforcement Learning (2022) (1)
- Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks (2020) (1)
- MLRG Deep Curvature (2019) (1)
- Nutrition, Growth, and Size (2012) (1)
- Entropic Spectral Learning in Large Scale Networks (2018) (1)
- Practical Bayesian Learning of Neural Networks via Adaptive Optimisation Methods (2018) (1)
- Semi-unsupervised Learning using Deep Generative Models (2018) (1)
- Forecasting Time Series from heterogeneous Data Streams using Adaptive Automatic Relevance Determination Gaussian Process Regression S id G hoshal (2015) (1)
- Enhancing Cross-Sectional Currency Strategies by Ranking Refinement with Transformer-based Architectures (2021) (1)
- Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity (2022) (1)
- Forecasting Financial Time Series with CNNs AIMS CDT Mini Project Supervised by Prof (2017) (0)
- Investment Sizing with Deep Learning Prediction Uncertainties for High-Frequency Eurodollar Futures Trading (2020) (0)
- Closing the K-FAC Generalisation Gap Using Stochastic Weight Averaging (2019) (0)
- Entropic Graph Spectrum (2019) (0)
- M ar 2 01 7 An information and field theoretic approach to the grand canonical ensemble (2018) (0)
- WiSE-VAE: Wide Sample Estimator VAE (2019) (0)
- Thresholded ConvNet ensembles: neural networks for technical forecasting (2020) (0)
- How does mini-batching affect curvature information for second order deep learning optimization? (2019) (0)
- Robust and Scalable SDE Learning: A Functional Perspective (2021) (0)
- MLRG Deep Curvature: An Open-source Package to Analyse and Visualise Neural Network Curvature and Loss Surface (2019) (0)
- Practical Bayesian Neural Networks via Adaptive Optimization Methods (2021) (0)
- Regularising Deep Networks using Deep Generative Models (2019) (0)
- Regularising Deep Networks with Deep Generative Models (2019) (0)
- AGGREGATE LATENT EMBEDDING (2019) (0)
- WiSE-ALE: Wide Sample Estimator for Approximate Latent Embedding (2019) (0)
- Maximum Entropy Approach to Massive Graph Spectrum Learning with Applications (2022) (0)
- Energymetabolism, enzymatic fluxcapacities, andmetabolic flux ratesinflying honeybees (1996) (0)
- Population-based Global Optimisation Methods for Learning Long-term Dependencies with RNNs (2019) (0)
- Basic Insect Functional Anatomy and Physiological Principles (2012) (0)
- Regularising Deep Networks with DGMs (2019) (0)
- Localization and quantification of sites of acid-base regulation in the grasshopper, Schistocerca americana (1997) (0)
- Mass scaling of kinematics and power during normal and maximal hovering flight performance in the bee Xylocopa varipuncta (1997) (0)
- On Sequential Bayesian Inference for Continual Learning (2023) (0)
- Comparison of respiratory tract effects of inhaled naphthalene in rats with and without co‐exposure to carbon nanoparticles (2020) (0)
- Balancing Reconstruction Quality and Regularisation in Evidence Lower Bound for Variational Autoencoders (2019) (0)
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What Schools Are Affiliated With Stephen P Roberts?
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