On Properties of Networks of Neuron-Like Elements. - Pierre Baldi; Santosh S. Venkatesh (NIPS, 1987)

The capacity of the Hopfield associative memory. - Robert J. McEliece; Edward C. Posner; Eugene R. Rodemich; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1987)

Composite algorithms for shaping attraction basins. - Santosh S. Venkatesh; Girish Pancha; Demetri Psaltis (Neural Networks, 1988)

Linear and logarithmic capacities in associative neural networks. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Inf. Theory, 1989)

Binary filters for pattern classification. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Acoust. Speech Signal Process., 1989)

The Devil and the Network. - Sanjay Biswas; Santosh S. Venkatesh (NIPS, 1990)

Asymptotic Slowing Down of the Nearest-Neighbor Classifier. - Robert R. Snapp; Demetri Psaltis; Santosh S. Venkatesh (NIPS, 1990)

Shaping attraction basins in neural networks. - Santosh S. Venkatesh; Girish Pancha; Demetri Psaltis; Gabriel Sirat (Neural Networks, 1990)

On Learning Binary Weights for Majority Functions. - Santosh S. Venkatesh (COLT, 1991)

Programmed interactions in higher-order neural networks: Maximal capacity. - Santosh S. Venkatesh; Pierre Baldi (J. Complex., 1991)

Programmed interactions in higher-order neural networks: The outer-product algorithm. - Santosh S. Venkatesh; Pierre Baldi (J. Complex., 1991)

How much information can one bit of memory retain about a Bernoulli sequence? - Santosh S. Venkatesh; Joel Franklin (IEEE Trans. Inf. Theory, 1991)

Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier. - Santosh S. Venkatesh; Robert R. Snapp; Demetri Psaltis (COLT, 1992)

On Reliable Computation With Formal Neurons. - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Robustness in neural computation: Random graphs and sparsity. - Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1992)

The Science of Making ERORS: What Error Tolerance Implies for Capacity in Neural Networks. - Santosh S. Venkatesh (IEEE Trans. Knowl. Data Eng., 1992)

On the Average Tractability of Binary Integer Programming and the Curious Transition to Perfect Generalization in Learning Majority Functions. - Shao C. Fang; Santosh S. Venkatesh (COLT, 1993)

Optimal Stopping and Effective Machine Complexity in Learning. - Changfeng Wang; Santosh S. Venkatesh; J. Stephen Judd (NIPS, 1993)

Directed Drift: A New Linear Threshold Algorithm for Learning Binary Weights On-Line. - Santosh S. Venkatesh (J. Comput. Syst. Sci., 1993)

Random interactions in higher order neural networks. - Pierre Baldi; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1993)

On the minimum expected duration of a coin tossing game. - Inchi Hu; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1993)

Asymptotic predictions of the finite-sample risk of the k-nearest-neighbor classifier. - Robert R. Snapp; Santosh S. Venkatesh (ICPR (2), 1994)

Temporal Dynamics of Generalization in Neural Networks. - Changfeng Wang; Santosh S. Venkatesh (NIPS, 1994)

On the finite sample performance of the nearest neighbor classifier. - Demetri Psaltis; Robert R. Snapp; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1994)

Learning from a Mixture of Labeled and Unlabeled Examples with Parametric Side Information. - Joel Ratsaby; Santosh S. Venkatesh (COLT, 1995)

Criteria for Specifying Machine Complexity in Learning. - Changfeng Wang; Santosh S. Venkatesh (COLT, 1995)

On Edge-colored Interior Planar Graphs on a Circle and the Expected Number of RNA Secondary Structures. - Alon Orlitsky; Santosh S. Venkatesh (Discret. Appl. Math., 1996)

Learning Binary Perceptrons Perfectly Efficiently. - Shao C. Fang; Santosh S. Venkatesh (J. Comput. Syst. Sci., 1996)

A Threshold Function for Harmonic Update. - Shao C. Fang; Santosh S. Venkatesh (SIAM J. Discret. Math., 1997)

Pilot symbol assisted diversity reception for a fading channel. - Selaka B. Bulumulla; Saleem A. Kassam; Santosh S. Venkatesh (ICASSP, 1998)

An adaptive diversity receiver for OFDM in fading channels. - Selaka B. Bulumulla; Saleem A. Kassam; Santosh S. Venkatesh (ICC, 1998)

The capacity of majority rule. - Shao C. Fang; Santosh S. Venkatesh (Random Struct. Algorithms, 1998)

Learning Pattern Classification - A Survey. - Sanjeev R. Kulkarni; Gábor Lugosi; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 1998)

Learning finite binary sequences from half-space data. - Shao C. Fang; Santosh S. Venkatesh (Random Struct. Algorithms, 1999)

On partially blind learning complexity. - Joel Ratsaby; Santosh S. Venkatesh (ISCAS, 2000)

A systematic approach to detecting OFDM signals in a fading channel. - Selaka B. Bulumulla; Saleem A. Kassam; Santosh S. Venkatesh (IEEE Trans. Commun., 2000)

Sensor network devolution and breakdown in survivor connectivity. - Srisankar S. Kunniyur; Santosh S. Venkatesh (ISIT, 2004)

DoS Protection for Reliably Authenticated Broadcast. - Carl A. Gunter; Sanjeev Khanna; Kaijun Tan; Santosh S. Venkatesh (NDSS, 2004)

Threshold Functions, Node Isolation, and Emergent Lacunae in Sensor Networks. - Srisankar S. Kunniyur; Santosh S. Venkatesh (IEEE Trans. Inf. Theory, 2006)

Correction to "Linear and Logarithmic Capacities in Associative Neural Networks". - Santosh S. Venkatesh; Demetri Psaltis (IEEE Trans. Inf. Theory, 2007)

Adaptive SelectiveVerification. - Sanjeev Khanna; Santosh S. Venkatesh; Omid Fatemieh; Fariba Khan; Carl A. Gunter (INFOCOM, 2008)

Market-based control of epidemics. - M. H. R. Khouzani; Santosh S. Venkatesh; Saswati Sarkar (Allerton, 2011)

Closing the Pandora's box: Defenses for thwarting epidemic outbreaks in mobile adhoc networks. - Rahul Potharaju; Md. Endadul Hoque; Cristina Nita-Rotaru; Saswati Sarkar; Santosh S. Venkatesh (MASS, 2012)

Adaptive Selective Verification: An Efficient Adaptive Countermeasure to Thwart DoS Attacks. - Sanjeev Khanna; Santosh S. Venkatesh; Omid Fatemieh; Fariba Khan; Carl A. Gunter (IEEE/ACM Trans. Netw., 2012)

Spin glasses with attitude: Opinion formation in a partisan Erdős-Rényi world. - Mohammad Hadi Afrasiabi; Roch Guérin; Santosh S. Venkatesh (ITA, 2014)

Taming epidemic outbreaks in mobile adhoc networks. - Md. Endadul Hoque; Rahul Potharaju; Cristina Nita-Rotaru; Saswati Sarkar; Santosh S. Venkatesh (Ad Hoc Networks, 2015)

Optimal Energy-Aware Epidemic Routing in DTNs. - Soheil Eshghi; M. H. R. Khouzani; Saswati Sarkar; Ness B. Shroff; Santosh S. Venkatesh (IEEE Trans. Autom. Control., 2015)

Optimal Patching in Clustered Malware Epidemics. - Soheil Eshghi; M. H. R. Khouzani; Saswati Sarkar; Santosh S. Venkatesh (IEEE/ACM Trans. Netw., 2016)

Spread, then target, and advertise in waves: Optimal capital allocation across advertising channels. - Soheil Eshghi; Victor M. Preciado; Saswati Sarkar; Santosh S. Venkatesh; Qing Zhao 001; Raissa M. D'Souza; Ananthram Swami (ITA, 2017)

Visibility-Aware Optimal Contagion of Malware Epidemics. - Soheil Eshghi; Saswati Sarkar; Santosh S. Venkatesh (IEEE Trans. Autom. Control., 2017)

Opinion formation in Ising networks. - Mohammad Hadi Afrasiabi; Roch Guérin; Santosh S. Venkatesh (Online Soc. Networks Media, 2018)

Modeling Information Propagation in General V2V-enabled Transportation Networks. - Jungyeol Kim; Saswati Sarkar; Santosh S. Venkatesh; Megan Smirti Ryerson; David Starobinski (CoRR, 2019)

Modeling the Impact of Traffic Signals on V2V Information Flow. - Jungyeol Kim; Rohan Saraogi; Saswati Sarkar; Santosh S. Venkatesh (VTC Spring, 2020)

Spread, Then Target, and Advertise in Waves: Optimal Budget Allocation Across Advertising Channels. - Soheil Eshghi; Victor M. Preciado; Saswati Sarkar; Santosh S. Venkatesh; Qing Zhao 001; Raissa M. D'Souza; Ananthram Swami (IEEE Trans. Netw. Sci. Eng., 2020)

Capturing the Spread of Information in Heterogeneous V2X Through Scalable Computation. - Jungyeol Kim; Rohan Saraogi; Saswati Sarkar; David Starobinski; Santosh S. Venkatesh (IEEE/ACM Trans. Netw., 2024)